| Shelfclass |
Sortkey |
Title |
| 4.G |
ABBAS, HUSSEIN A |
Data Mining: A Heuristic Approach |
| 4.G |
ABE, SHIGEO |
Support Vector Machines for Pattern Classification |
| 4.G |
ADCS |
Analysis of Dynamical and Cognitive Systems: Advanced Course, Stockholm, Sweden, August 9-14, 1993: Proceedings |
| 4.G |
ADELI, HOJJAT |
Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems |
| 4.G |
ADMA |
ADMA 2007: Advanced Data Mining and Applications: Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007: proceedings |
| 4.G |
AII 1986 |
AII '86: Analogical and Inductive Inference: International Workshop AII '86, Wendisch-Rietz, GDR, October 6-10, 1986: proceedings |
| 4.G |
AII 1989 |
AII '89: Analogical and Inductive Inference: International Workshop AII '89, Reinhardsbrunn Castle, GDR, October, 1989: proceedings |
| 4.G |
AII 1992 |
AII '92: Analogical and Inductive Inference: International Workshop AII '92, Dagstuhl Castle, Germany, October 5-9, 1992: proceedings |
| 4.G |
ALPAYDIN, ETHEM |
Introduction to Machine Learning |
| 4.G |
ALT |
ALT 1990: Algorithmic Learning Theory |
| 4.G |
ALT |
ALT 1992: Algorithmic Learning Theory: 3rd Workshop, ALT '92, Tokyo, Japan, October 20-22, 1992: proceedings |
| 4.G |
ALT |
ALT 1993: Algorithmic Learning Theory: 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993: proceedings |
| 4.G |
ALT |
ALT 1995: Algorithmic Learning Theory: 6th International Workshop, ALT í 95, Tokyo, Japan, October 1995: proceedings |
| 4.G |
ALT |
ALT 1996: Algorithmic Learning Theory: 7th International Workshop, ALT '96, Sydney, Australia, October 23-25, 1996: proceedings |
| 4.G |
ALT |
ALT 1997: Algorithmic Learning Theory: 8th International Workshop, ALT '97, Sendai, Japan, October 6-8, 1997: proceedings |
| 4.G |
ALT |
ALT 1998: Algorithmic Learning Theory: 9th International Conference, ALT '98, Otzenhausen, Germany, October 8-10, 1998: proceedings |
| 4.G |
ALT |
ALT 1999: Algorithmic Learning Theory: 10th International Conference, ALT'99, Tokyo, Japan, December 6-8, 1999: proceedings |
| 4.G |
ALT |
ALT 2000: Algorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000: proceedings |
| 4.G |
ALT |
ALT 2001: Algorithmic Learning Theory: 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001: proceedings |
| 4.G |
ALT |
ALT 2002: Algorithmic Learning Theory: 13th International Conference, ALT 2002, Lubeck, Germany, November 24-26, 2002: proceedings |
| 4.G |
ALT |
ALT 2003: Algorithmic Learning Theory: 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003: proceedings |
| 4.G |
ALT |
ALT 2004: Algorithmic Learning Theory: 15th International Conference, ALT 2004, Padova, Italy, October 2-5, 2004, Proceedings |
| 4.G |
ALT |
ALT 2005: Algorithmic Learning Theory: 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings |
| 4.G |
ALT |
ALT 2006: Algorithmic Learning Theory: 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings |
| 4.G |
ALT |
ALT 2008: Algorithmic Learning Theory: 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings |
| 4.G |
ALT |
ALT 2009: Algorithmic Learning Theory: 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings |
| 4.G |
ALT / AII |
ALT / AII 1994: Algorithmic Learning Theory: 4th International Workshop on Analogical and Inductive Inference, AII '94: 5th International Workshop on Algorithmic Learning Theory, ALT '94, Reinhardsbrunn Castle, Germany, October 10-15, 1994: proceedings |
| 4.G |
ANDREWS, MARK WILLIAM |
Language Learning and Nonlinear Dynamical Systems: A Dissertation |
| 4.G |
ANGLUIN, DANA CHARMIAN |
An Application of the Theory of Computational Complexity to the Study of Inductive Inference: dissertation |
| 4.G |
ANTHONY, MARTIN |
Computational Learning Theory: An Introduction |
| 4.G |
ANTONIU, GRIGORIS |
Learning and Reasoning with Complex Representations: PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations: Cairns, Australia, August 26-30, 1996: selected papers |
| 4.G |
ANTS |
ANTS 2006: Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006: proceedings |
| 4.G |
ANZAI, YUICHIRO |
Pattern Recognition and Machine Learning |
| 4.G |
APIRATIKUL, PRACH |
Document Fingerprinting Using Graph Grammar Induction |
| 4.G |
ARTIFICIAL 1985 |
Artificial Intelligence and Statistics I |
| 4.G |
ARTIFICIAL 1989 |
Artificial Intelligence and Statistics II: 2nd international workshop, January 4-7, 1989, Fort Laurerdale, Florida: preliminary papers |
| 4.G |
ARTIFICIAL 1991 |
Artifcial Intelligence and Statistics III: Artificial Intelligence Frontiers in Statistics |
| 4.G |
ARTIFICIAL 1995 |
Artificial Intelligence and Statistics V: Learning from Data |
| 4.G |
ARTIFICIAL 1999 |
Artificial Intelligence and Statistics VII: January 3-6, 1999, Fort Laurerdale, Florida |
| 4.G |
ARTIFICIAL 2001 |
Artificial Intelligence and Statistics VIII: January 4-7, 2001, Key West, Florida |
| 4.G |
ASH, TIMUR |
A Review of Learning Algorithms that Modify Network Topologies |
| 4.G |
BANDYOPADHYAY, SANGHAMITRA |
Advanced Methods for Knowledge Discovery from Complex Data |
| 4.G |
BARBOUR, GARTH STANLEY |
Program Modeling: A Machine Learning Approcah to Intrusion Detection |
| 4.G |
BAREISS, RAY |
Exemplar-Based Knowledge Acquisition: A Unified Approach to Concept Representation, Classification, and Learning |
| 4.G |
BEKKERMAN, RON |
Scaling Up Machine Learning: Parallel and Distributed Approaches |
| 4.G |
BENJAMIN, D. PAUL |
Change of Representation and Inductive Bias |
| 4.G |
BERGADANO, FRANCESCO |
Inductive Logic Programming: From Machine Learning to Software Engineering |
| 4.G |
BERK, RICHARD A |
Statistical Learning from a Regression Perspective |
| 4.G |
BERRY, MICHAEL W |
Survey of Text Mining: Clustering, Classification, and Retrieval |
| 4.G |
BERRY, MICHAEL W |
Survey of Text Mining II: Clustering, Classification, and Retrieval |
| 4.G |
BERTHOLD, MICHAEL |
Intelligent Data Analysis: An Introduction |
| 4.G |
BIRATTARI, MAURO |
The Problem of Tuning Metaheuristics: As Seen from a Machine Learning Perspective |
| 4.G |
BISHOP, CHRISTOPHER M |
Neural Networks and Machine Learning |
| 4.G |
BOCK, HANS-HERMANN |
Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data |
| 4.G |
BOLÓN-CANEDO, VERÓNICA |
Feature Selection for High-Dimensional Data |
| 4.G |
BOUSQUET, OLIVIER |
Advanced Lectures on Machine Learning: Machine Learning Summer Schools 2003, Canberra, Australia, February 2-14, 2003 / Tübingen, Germany, August 4-16, 2003: revised lectures |
| 4.G |
BOWLES, ANITA RACHELLE |
Implicit and Explicit Learning of Artificial Grammar Structures and Natural Language Morphology: Implications for Second Language Learning |
| 4.G |
BOZDOGAN, HAMPARSUM |
Statistical Data Mining and Knowledge Discovery |
| 4.G |
BRAMER, M. A |
Knowledge Discovery and Data Mining |
| 4.G |
BRAZDIL, PAVEL |
Metalearning: Applications to Data Mining |
| 4.G |
BRAZDIL, PAVEL B |
Machine Learning, Meta-Reasoning and Logics |
| 4.G |
BRISCOE, GARRY |
A Compendium of Machine Learning: Volume 1: Symbolic Machine Learning |
| 4.G |
BROWNING, JOHN D |
Statistical Models for Data Mining: General Inferences and Class Discovery in Large Databases |
| 4.G |
BUCHANAN, BRUCE G |
Readings in Knowledge Acquisition and Learning: Automating the Construction and Improvement of Expert Systems |
| 4.G |
BULL, LARRY |
Learning Classifier Systems in Data Mining |
| 4.G |
BUTZ, MARTIN V |
Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems |
| 4.G |
BUTZ, MARTIN V. |
Anticipatory Learning Classifier Systems |
| 4.G |
CARBONELL, JAIME G |
ECAI '86: Learning & Knowledge Acquisition: 21 July 1986: Proceedings |
| 4.G |
CARBONELL, JAIME G |
Machine Learning: Paradigms and Methods |
| 4.G |
CASYS 1997 |
Computing Anticipatory Systems: CASYS - First International Conference, Liege, Belgium, August 1997 |
| 4.G |
CAUDILL, MAUREEN |
Naturally Intelligent Systems |
| 4.G |
CESA-BIANCHI, NICOLÓ |
Prediction, Learning, and Games |
| 4.G |
CHEN, KEH-JIANN |
Tradeoffs in Machine Inductive Inference |
| 4.G |
CHEN, ZHE |
Correlative Learning: A Basis for Brain and Adaptive Systems |
| 4.G |
CHEN, ZHENGXIN |
Data Mining and Uncertain Reasoning: An Integrated Approach |
| 4.G |
CHERKASSKY, VLADIMIR |
Learning from Data: Concepts, Theory, and Methods |
| 4.G |
COLMAN, RONALD WILLIAM |
Inductive Extrapolation: A System for Program Synthesis from Exemplary Data Employing Regular Grammar Inference and Polynomial Separation of Machine States |
| 4.G |
COLT |
COLT 2000: Computational Learning Theory: proceedings of the thirteenth annual conference on computational learning theory, June 28 - July 1, 2000, Palo Alto, California |
| 4.G |
COLT |
COLT 2001: Computational Learning Theory: Proceedings of the 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computer Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16-19, 2001: proceedings |
| 4.G |
COLT |
COLT 2002: Computational Learning Theory: Proceedings of the 15th Annual Conference on Computational Learning Theory, COLT 2002, Sydney, Australia, July 8-10, 2002: proceedings |
| 4.G |
COLT |
COLT 2004: Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings: [Elektronisk resurs] |
| 4.G |
COLT |
COLT 2005: Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings |
| 4.G |
COLT |
COLT 2006: Learning theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings |
| 4.G |
COLT |
COLT 2007: Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings |
| 4.G |
COLT |
COLT 2008: Learning Theory: 21st Annual Conference on Learning Theory, COLT 2008, Helsinki, Finland, 9-125 July, 2008: proceedings |
| 4.G |
COLT |
COLT '88: Computational Learning Theory: Proceedings of the First Annual Workshop on Computational Learning Theory, MIT, August 3-5, 1988 |
| 4.G |
COLT |
COLT '89: Computational Learning Theory: Proceedings of the Second Workshop on Computational Learning Theory, University of California, Santa Cruz, July 31 - August 2, 1989 |
| 4.G |
COLT |
COLT '90: Computational Learning Theory: Proceedings of the Third Annual Workshop on Computational Learning Theory, University of Rochester, Rochester, New York, August 6-8, 1990 |
| 4.G |
COLT |
COLT '91: Computational Learning Theory: Proceedings of the Fourth Annual Workshop on Computational Learning Theory, University of California, Santa Cruz, August 5-7, 1991 |
| 4.G |
COLT |
COLT '94: Computational Learning Theory: Proceedings of the seventh annual ACM Conference on Computational Learning Theory, July 12th-15th, 1994, New Brunswick, New Jersey |
| 4.G |
COLT |
COLT '96: Computational Learning Theory: proceedings of the ninth annual conference on computational learning theory, June 28 - July 1, 1996, Desenzano del Garda, Italy |
| 4.G |
COLT |
COLT '97: Computational Learning Theory: Proceedings of the Tenth Annual Conference on Computational Learning Theory, July 6-9, 1997, Nashville, Tennessee |
| 4.G |
COLT |
COLT '98: Computational Learning Theory: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, July 24th-26th, 1998, Madison, Wisconsin |
| 4.G |
COLT |
COLT '99: Computational Learning Theory: Proceedings of the Twelfth Annual Conference on Computational Learning theory. July 6-9, 1999, Santa Cruz, California |
| 4.G |
COLT / KERNEL |
COLT 2003 / Kernel 2003: Learning theory and Kernel machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003: proceedings |
| 4.G |
COMPUTATIONAL |
Computational Learning Theory and Natural Learning Systems: Volume 1: Constraints and Prospects |
| 4.G |
COMPUTATIONAL |
Computational Learning Theory and Natural Learning Systems: Volume 2: Intersections between Theory and Experiment: Vol. 2 |
| 4.G |
COMPUTATIONAL |
Computational Learning Theory and Natural Learning Systems: Volume 3: Selecting Good Models |
| 4.G |
COMPUTATIONAL |
Computational Learning Theory and Natural Learning Systems: Volume 4: Making Learning Systems Practical |
| 4.G |
COX, EARL |
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration |
| 4.G |
CRISTIANINI, NELLO |
An Introduction to Support Vector Machines: and Other Kernel-Based Learning Methods |
| 4.G |
CUCKER, FELIPE |
Learning Theory: An Approximation Theory Viewpoint |
| 4.G |
CUSSENS, JAMES |
Learning Language in Logic |
| 4.G |
DATA 1989 |
Data Analysis, Learning Symbolic and Numeric Knowledge: Proceedings of the Conference on Data Analysis, Learning Symbolic and Numeric Knowledge: Antibes, September 11-14, 1989 |
| 4.G |
D'AVILA GARCEZ, ARTUR S |
Neural-Symbolic Learning Systems: Foundations and Applications |
| 4.G |
DAWAK |
DaWaK 1999: Data Warehousing and Knowledge Discovery: 1st International Conference, DaWaK '99, Florence, Italy, August 30-September 1, 1999: proceedings |
| 4.G |
DAWAK |
DaWak 2000: Data Warehousing and Knowledge Discovery: 2nd International Conference, DaWaK 2000, London, UK, September 4-6, 2000: proceedings |
| 4.G |
DAWAK |
DaWak 2001: Data Warehousing and Knowledge Discovery: 3rd International Conference, DaWaK 2001, Munich, Germany, September 5-7, 2001: proceedings |
| 4.G |
DAWAK |
DaWak 2002: Data Warehousing and Knowledge Discovery: 4th International Conference, DaWaK 2002, Aix-en-Provence, France, September 4-6, 2002: proceedings |
| 4.G |
DAWAK |
DaWak 2003: Data Warehousing and Knowledge Discovery: 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5, 2003: Proceedings |
| 4.G |
DAWAK |
DaWak 2004: Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004: Proceedings |
| 4.G |
DAWAK |
DaWak 2007: Data Warehousing and Knowledge Discovery: 9th International Conference, DaWaK 2007, Regensburg Germany, September 3-7, 2007: Proceedings |
| 4.G |
DAWAK |
DaWaK 2008: Data Warehousing and Knowledge Discovery: 10th International Conference, DaWaK 2008, Turin, Italy, September 2-5, 2008, Proceedings |
| 4.G |
DE RAEDT, LUC |
Logical and Relational Learning |
| 4.G |
DOMINGOS, PEDRO |
Markov Logic: An Interface Layer for Artificial Intelligence |
| 4.G |
DOMINGOS, PEDRO |
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World |
| 4.G |
DONG, GUOZHU |
Feature Engineering for Machine Learning and Data Analytics |
| 4.G |
DOWNING, KEITH L. |
Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems |
| 4.G |
DRUGOWITSCH, JAN |
Design and Analysis of Learning Classifier Systems: A Probabilistic Approach |
| 4.G |
DS |
DS 1998: Discovery Science: First International Conference, DS'98, Fukuoka, Japan, December 14-16, 1998, Proceedings |
| 4.G |
DS |
DS 1999: Discovery Science: Second International Conference, DS'99, Tokyo, Japan, December 6-8, 1999, Proceedings |
| 4.G |
DS |
DS 2000: Discovery Science: Third International Conference, DS 2000, Kyoto, Japan, December 4-6, 2000, Proceedings |
| 4.G |
DS |
DS 2001: Discovery Science: 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001, Proceedings |
| 4.G |
DS |
DS 2002: Discovery Science: 5th International Conference, DS 2002, Lübeck, Germany, November 24-26, 2002: Proceedings |
| 4.G |
DS |
DS 2004: Discovery Science: 7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004, Proceedings |
| 4.G |
DS |
DS 2005: Discovery Science: 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings |
| 4.G |
DS |
DS 2007: Discovery Science: 10th International Conference, DS 2007, Sendai, Japan, October 1-4, 2007 ; Proceedings |
| 4.G |
DSMML 2004 |
DSMML 2004: Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004: revised lectures |
| 4.G |
ECML |
ECML 2000: Machine Learning: 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31-June 2, 2000: proceedings |
| 4.G |
ECML |
ECML 2001: Machine Learning: 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001: proceedings |
| 4.G |
ECML |
ECML 2002: Machine Learning: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002: proceedings |
| 4.G |
ECML |
ECML 2003: Machine Learning: 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003: proceedings |
| 4.G |
ECML |
ECML 2004: Machine Learning: 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004: proceedings |
| 4.G |
ECML |
ECML 2005: Machine Learning: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005: proceedings |
| 4.G |
ECML |
ECML 2006: Machine Learning: 17th European Conference on Machine Learning, Berlin, Germany, September 2006: proceedings |
| 4.G |
ECML |
ECML 2007: Machine Learning: 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings |
| 4.G |
ECML |
ECML -93: Machine Learning: European Conference on Machine Learning, Vienna, Australia, April 5-7, 1993: proceedings |
| 4.G |
ECML |
ECML -94: Machine Learning: European Conference on Machine Learning, Catania, Italy, April 6-8, 1994: proceedings |
| 4.G |
ECML |
ECML -95: Machine Learning: European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995: proceedings |
| 4.G |
ECML |
ECML -97: Machine Learning: 9th European Conference on Machine Learning, Prague, Czech Republic, April 23-25, 1997: proceedings |
| 4.G |
ECML |
ECML -98: Machine Learning: 10th European Conference on Machine Learning, Chemnitz, Germany, April 1998: proceedings |
| 4.G |
ELDÉN, LARS |
Matrix Methods in Data Mining and Pattern Recognition |
| 4.G |
ELLAITHY, AMR |
Learning Automata Solutions to Enhancing Optimal Search for Unknown Target Distributions |
| 4.G |
ENGEL, A |
Statistical Mechanics of Learning |
| 4.G |
ESF |
ESF 2002: Pattern Detection and Discovery: ESF Exploratory Workshop, London, UK, September 16-19, 2002: proceedings |
| 4.G |
EUROCOLT 1993 |
EuroCOLT '93: Computational Learning Theory |
| 4.G |
EUROCOLT 1995 |
EuroCOLT '95: Computational Learning Theory: Second European Conference, EuroCOLT '95, Barcelona, Spain, March 13-15, 1995: proceedings |
| 4.G |
EUROCOLT 1997 |
EuroCOLT '97: Computational Learning Theory: Third European Conference, EuroCOLT'97, Jerusalem, Israel, March 17-19, 1997: proceedings |
| 4.G |
EUROCOLT 1999 |
EuroCOLT '99: Computational Learning Theory: 4th European Conference, EuroCOLT '99, Nordkirchen, Germany, March 29-31, 1999: proceedings |
| 4.G |
EWSL 1987 |
EWSL '87: Progress in Machine Learning: Proceedings of EWSL 87, 2nd European Working Session on Learning, Bled, Yugoslavia, May 1987 |
| 4.G |
EWSL 1988 |
EWSL '88: Proceedings of the Third European Working Session on Learning: Turing Institute, Glasgow, 3-5 October 1988 |
| 4.G |
EWSL 1989 |
EWSL '89: Proceedings of the Fourth European Working session on Learning: Montpellier, 4-6 December 1989 |
| 4.G |
EWSL 1991 |
EWSL-91: Machine Learning: European Working Session on Learning, Porto, Portugal, March 6-8 1991: proceedings |
| 4.G |
FAYYAD, USAMA M |
Advances in Knowledge Discovery and Data Mining |
| 4.G |
FAYYAD, USAMA M |
Information Visualization in Data Mining and Knowledge Discovery |
| 4.G |
FELDMAN, RONEN |
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data |
| 4.G |
FELSEN, JERRY |
Decision Making under Uncertainty: An Artificial Intelligence Approach |
| 4.G |
FIELDING, ALAN H |
Machine Learning Methods for Ecological Applications |
| 4.G |
FISHER, DOUGLAS H |
Concept Formation: Knowledge and Experience in Unsupervised Learning |
| 4.G |
FLORIAN, RADU |
Transformation Based Learning and Data-Driven Lexical Disambiguation: Syntactic and Semantic Ambiguity Resolution |
| 4.G |
FORSYTH, RICHARD |
Machine Learning: Applications in Expert Systems and Information Retrieval |
| 4.G |
FORSYTH, RICHARD |
Machine Learning: Principles and Techniques |
| 4.G |
FRANCESCHETTI, MASSIMO |
Random Networks for Communication: From Statistical Physics to Information Systems |
| 4.G |
FREY, BRENDAN J |
Graphical Models for Machine Learning and Digital Communication |
| 4.G |
GAMMERMAN, A |
Computational Learning and Probabilistic Reasoning |
| 4.G |
GAMMERMAN, ALEX |
Causal Models and Intelligent Data Management |
| 4.G |
GAUL, W |
Classification in the Information Age: Proceedings of the 22nd annual GfKI Conference, Dresden, March 4-6, 1998 |
| 4.G |
GAUL, W |
From Data to Knowledge: Theoretical and Practical Aspects of Classification, Data Analysis, and Knowledge Organization |
| 4.G |
GLYMOUR, CLARK N |
Computation, Causation, and Discovery |
| 4.G |
GLYMOUR, CLARK N |
Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling |
| 4.G |
GLYMOUR, CLARK N |
The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology |
| 4.G |
GONG, YIHONG |
Machine Learning for Multimedia Content Analysis |
| 4.G |
GREGG, LEE W |
Knowledge and Cognition |
| 4.G |
GUYON, ISABELLE |
Feature Extraction: Foundations and Applications |
| 4.G |
GWYNNE, JOHN WILLIAM |
A Structural Analysis of Inductive Inference: dissertation |
| 4.G |
HAND, D. J |
Principles of Data Mining |
| 4.G |
HAN, JIAWEI |
Data Mining: Concepts and Techniques |
| 4.G |
HANSON, STEPHEN JOSE |
Machine Learning: From Theory to Applications: Cooperative Research at Siemens and MIT |
| 4.G |
HASTIE, TREVOR |
The Elements of Statistical Learning: Data Mining, Inference, and Prediction |
| 4.G |
HEINZ, JEFFREY |
Topics in Grammatical Inference |
| 4.G |
HERBRICH, RALF |
Learning Kernel Classifiers: Theory and Algorithms |
| 4.G |
HEYER, GERHARD |
Text Mining: Wissensrohstoff Text: Konzepte, Algorithmen, Ergebnisse |
| 4.G |
HIRSH, HAYM |
Incremental Version-Space Merging: A General Framework for Concept Learning |
| 4.G |
HOLLAND, JOHN H |
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence |
| 4.G |
HOLLAND, JOHN H |
Induction: Processes of Inference, Learning, and Discovery |
| 4.G |
HOLMES, DAWN E |
Innovations in Machine Learning: Theory and Applications |
| 4.G |
HUANG, KAI-ZHU |
Machine Learning: Modeling Data Locally and Globally |
| 4.G |
HUNT, EARL B |
Experiments in Induction |
| 4.G |
ICA |
ICA 2007: Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007: Proceedings |
| 4.G |
ICGI |
Grammatical Inference: Algorithms and Applications, 8th International Colloquium, ICGI 2006, Proceedings |
| 4.G |
ICGI |
Grammatical Inference: Algorithms and Applications, 9th International Colloquium, ICGI 2008, Proceedings |
| 4.G |
ICGI |
Grammatical Inference: Theoretical Results and Applications, 10th International Colloquium, ICGI 2010, Proceedings |
| 4.G |
ICGI 1994 |
ICGI-94: Grammatical Inference and Applications: Second International Ccolloquium, ICGI-94, Alicante, Spain, September 21-23, 1994: proceedings |
| 4.G |
ICGI 1996 |
ICGI-96: Grammatical Inference: Learning Syntax from Sentences: Third International Colloquium, ICGI-96, Montpellier, France, September 25-27, 1996: proceedings |
| 4.G |
ICGI 1998 |
ICGI-98: Grammatical Inference: 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998: proceedings |
| 4.G |
ICGI 2000 |
ICGI 2000: Grammatical Inference: Algorithms and Applications: 5th International Colloquium, ICGI 2000, Lisbon, Portugal, September 11-13, 2000: proceedings |
| 4.G |
ICGI 2002 |
ICGI 2002: Grammatical Inference: Algorithms and Applications: 6th International Colloquium, ICGI 2002, Amsterdam, The Netherlands, September 23-25, 2002: proceedings |
| 4.G |
ICGI 2004 |
ICGI 2004: Grammatical Inference: Algorithms and Applications: 7th International Colloquium, ICGI 2004, Athens, Greece, October 11-13, 2004: proceedings |
| 4.G |
ICML |
ICML 2005: Proceedings of the 22nd International Conference on Machine Learning: Bonn, Germany, 7-11 August, 2005 |
| 4.G |
ICML 1987 |
ICML '87: Machine Learning: Proceedings of the Fourth International Workshop on Machine Learning. June 22-25, 1987, University of California, Irvine. |
| 4.G |
ICML 1988 |
ICML '88: Machine Learning: Proceedings of the Fifth International Conference on Machine Learning. June 12-15, 1988, University of Michigan, Ann Arbor, Michigan. |
| 4.G |
ICML 1989 |
ICML '89: Machine Learning: Proceedings of the Sixth International Workshop on Machine Learning. June 26-27, 1989. Cornell University, Ithaca, New York. |
| 4.G |
ICML 1990 |
ICML '90: Machine Learning: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas. June 21-23, 1990. |
| 4.G |
ICML 1991 |
ICML '91: Machine Learning: Proceedings of the Eighth International Workshop (ML91) |
| 4.G |
ICML 1992 |
ICML '92: Machine Learning: Proceedings of the Ninth International Workshop (ML92) |
| 4.G |
ICML 1993 |
ICML '93: Machine Learning: Proceedings of the Tenth International Conference. June 27-29, 1993. University of Massachusetts, Amhers. |
| 4.G |
ICML 1994 |
ICML '94: Machine Learning: Proceedings of the Eleventh International Conference. July 10-13, 1994, Rutgers University, New Brunswick, New Jersey. |
| 4.G |
ICML 1995 |
ICML '95: Machine Learning: The Twelfth International Conference on Machine Learning. July 9-12. 1995, Tahoe City, California. |
| 4.G |
ICML 1996 |
ICML '96: Machine Learning: Proceedings of the Thirteenth Conference (ICML '96). Bari, Italy, July 3-6, 1996. |
| 4.G |
ICML 1997 |
ICML '97: Machine Learning: Proceedings of the Fourteenth International Conference (ICML '97). Nashville, Tennesee, July 8-12, 1997. |
| 4.G |
ICML 1998 |
ICML '98: Machine Learning: Proceedings of the Fifteenth International Conference (ICML '98). Madison, Wisconsin, July 24-27, 1998. |
| 4.G |
ICML 1999 |
ICML '99: Machine Learning: Proceedings of the Sixteenth International Conference on Machine Learning (ICML '99). Bled, Slovenia, June 27-30, 1999. |
| 4.G |
ICML 2000 |
ICML 2000: Machine Learning: Proceedings of the Seventeenth International Conference on Machine Learning. June 29-July 2, 2000, Stanford University. |
| 4.G |
ICML 2001 |
ICML 2001: Machine Learning: Proceedings of the Eighteenth International Conference (ICML 2001). Williams College, June 28-July 1, 2001. |
| 4.G |
ICML 2002 |
ICML 2002: Machine Learning: Proceedings of the Nineteenth International Conference (ICML 2002). University of New South Wales, Sydney, Australia, July 8-12, 2002. |
| 4.G |
ICML 2003 |
ICML 2003: Machine Learning: Proceedings of the Twentieth International Conference (ICML 2003). August 21-24, 2003, Washington, DC USA. |
| 4.G |
ICML 2008 |
ICML 2008: Machine Learning: Proceedings of the 25th International Conference (ICML 2008). Helsinki, Finland, 5-9 July, 2008. |
| 4.G |
ICMLC |
ICMLC 2005: Advances in Machine Learning and Cybernetics: 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005: revised selected papers |
| 4.G |
ICONIP |
ICONIP 2006 P2: Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006: proceedings |
| 4.G |
ICONIP |
ICONIP 2006 P3: Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006: proceedings |
| 4.G |
ICONIP |
ICONIP 2007 P1: Neural Information Processing: 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I |
| 4.G |
ICONIP |
ICONIP 2007 P2: Neural Information Processing: 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II |
| 4.G |
IDA |
IDA 1997: Advances in Intelligent Data Analysis II: Reasoning About Data: 2nd International Symposium, IDA-97, London, UK, August 4-6, 1997: proceedings |
| 4.G |
IDA |
IDA 1999: Advances in Intelligent Data Analysis III: 3rd International Symposium, IDA-99, Amsterdam, The Netherlands, August 9-11, 1999: proceedings |
| 4.G |
IDA |
IDA 2001: Advances in Intelligent Data Analysis IV: 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001: proceedings |
| 4.G |
IDA |
IDA 2003: Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003: proceedings |
| 4.G |
IDA |
IDA 2007: Advances in Intelligent Data Analysis VII: 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007: proceedings |
| 4.G |
IDEAL |
IDEAL 2000: Intelligent Data Engineering and Automated Learning: Data Mining, Financial Engineering, and Intelligent Agents: 2nd International Conference, Shatin, N.T., Hong Kong, China, December 13-15, 2000: proceedings |
| 4.G |
IDEAL |
IDEAL 2002: Intelligent Data Engineering and Automated Learning: 3rd International Conference, Manchester, UK, August 12-14, 2002: proceedings |
| 4.G |
IDEAL |
IDEAL 2003: Intelligent Data Engineering and Automated Learning: 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003: revised papers |
| 4.G |
IDEAL |
IDEAL 2004: Intelligent Data Engineering and Automated Learning: 5th International Conference, Exeter, UK, August 25-27, 2004: proceedings |
| 4.G |
IDEAL |
IDEAL 2007: Intelligent Data Engineering and Automated Learning: 8th International Conference, Birmingham, UK, December 16-19, 2007. proceedings |
| 4.G |
IDEAL |
IDEAL 2008: Intelligent Data Engineering and Automated Learning - IDEAL 2008: 9th International Conference, Daejeon, South Korea, November 2-5, 2008, Proceedings |
| 4.G |
IDEAL |
IDEAL '98: Intelligent Data Engineering and Learning: Perspectives on Financial Engineering and Data Mining: 1st International Symposium, IDEAL '98: Hong Kong, October 14-16, 1998 |
| 4.G |
ILP |
ILP 2000: Inductive Logic Programming: 10th International Conference, ILP 2000, London, UK, July 2000: proceedings |
| 4.G |
ILP |
ILP 2001: Inductive Logic Programming: 11th international conference, ILP 2001, Strasbourg, France, September 9-11, 2001: proceedings |
| 4.G |
ILP |
ILP 2002: Inductive Logic Programming: 12th international conference, ILP 2002, Sydney, Australia, July 9-11, 2002: revised papers |
| 4.G |
ILP |
ILP 2003: Inductive Logic Programming: 13th international conference, ILP 2003, Szeged, Hungary, September 29-October 1, 2003: proceedings |
| 4.G |
ILP |
ILP 2004: Inductive Logic Programming: 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004: proceedings |
| 4.G |
ILP |
ILP 2005: Inductive Logic Programming: 15th international conference, ILP 2005, Bonn, Germany, August 10-13, 2005: proceedings |
| 4.G |
ILP |
ILP 2006: Inductive Logic Programming: 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers |
| 4.G |
ILP |
ILP 2007: Inductive Logic Programming: 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers |
| 4.G |
ILP |
ILP 2008: Inductive Logic Programming: 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings |
| 4.G |
ILP |
ILP-96: Inductive Logic Programming: 6th International Workshop, ILP-96, Stockholm, Sweden, August 1996: selected papers |
| 4.G |
ILP |
ILP-97: Inductive Logic Programming: 7th international workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997: proceedings |
| 4.G |
ILP |
ILP-98: Inductive Logic Programming: 8th international conference, ILP-98, Madison, Wisconsin, USA, July 22-24, 1998: proceedings |
| 4.G |
ILP |
ILP-99: Inductive Logic Programming: 9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999: proceedings |
| 4.G |
IRNIGER, CHRISTOPHE-ANDRE MARIO |
Graph Matching: Filtering Databases of Graphs Using Machine Learning Techniques |
| 4.G |
JANTKE, KLAUS P |
Algorithmic Learning for Knowledge-Based Systems: GOSLER final report |
| 4.G |
JEBARA, TONY |
Machine Learning: Discriminative and Generative |
| 4.G |
JIN, YAOCHU |
Multi-Objective Machine Learning |
| 4.G |
JORDAN, MICHAEL I |
Learning in Graphical Models |
| 4.G |
KÄÄRIÄINEN, MATTI |
Learning Small Trees and Graphs that Generalize |
| 4.G |
KABURLASOS, VASSILIS G |
Computational Intelligence Based on Lattice Theory |
| 4.G |
KAELBLING, LESLIE PACK |
Learning in Embedded Systems |
| 4.G |
KAELBLING, LESLIE PACK |
Recent Advances in Reinforcement Learning |
| 4.G |
KAO, ANNE |
Natural Language Processing and Text Mining |
| 4.G |
KARGUPTA, HILLOL |
Advances in Distributed and Parallel Knowledge Discovery |
| 4.G |
KARGUPTA, HILLOL |
Data Mining: Next Generation Challenges and Future Directions |
| 4.G |
KDD |
KDD 1995: First International Conference on Knowledge Discovery & Data Mining: August 20-21, 1995, Montreal, Quebec, Canada: proceedings |
| 4.G |
KDD |
KDD 1996: Second International Conference on Knowledge Discovery & Data Mining: August 2-4, 1996, Portland, Oregon: proceedings |
| 4.G |
KDD |
KDD 1997: Third International Conference on Knowledge Discovery and Data Mining: Newport Beach, California, August 14-17, 1997: proceedings |
| 4.G |
KDD |
KDD 1998: Fourth International Conference on Knowledge Discovery & Data Mining: August 27-31, 1998, New York: proceedings |
| 4.G |
KDD |
KDD 1999: Fifth International Conference on Knowledge Discovery & Data Mining: August 15-18, 1999, San Diego, California, USA |
| 4.G |
KDD |
KDD 2000: Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 20-23, 2000, Boston, Massachusetts, USA: proceedings, |
| 4.G |
KDD |
KDD 2001: Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 26-29, 2001, San Francisco, CA |
| 4.G |
KDD |
KDD 2002: Eight ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: July 23-26, 2002, Edmonton, Alberta, Canada |
| 4.G |
KDD |
KDD 2002: Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002: revised papers |
| 4.G |
KDD |
KDD 2003: Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 24-27, 2003, Washington, DC, USA |
| 4.G |
KDD |
KDD 2004: Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 22-25, 2004, Seattle, Washington, USA |
| 4.G |
KDD |
KDD 2005: Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 21-24, 2005, Chicago, Illinois, USA, Proceedings |
| 4.G |
KDD |
KDD 2006: Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 20-23, 2006, Philadelphia, PA, USA, Proceedings |
| 4.G |
KDD |
KDD 2007: Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 12-15, 2007, San Jose, CA, USA |
| 4.G |
KDID |
KDID 2004: Knowledge Discovery in Inductive Databases: 3rd International Workshop, KDID 2004, Pisa, Italy, September 20, 2004: revised selected and invited papers |
| 4.G |
KDID |
KDID 2005: Knowledge Discovery in Inductive Databases: 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005: revised selected and invited papers |
| 4.G |
KDID |
KDID 2006: Knowledge Discovery in Inductive Databases: 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006: revised, selected and invited papers |
| 4.G |
KEARNS, MICHAEL J |
An Introduction to Computational Learning Theory |
| 4.G |
KEARNS, MICHAEL J |
The Computational Complexity of Machine Learning |
| 4.G |
KECMAN, VOJISLAV |
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models |
| 4.G |
KELLER, RICHARD MICHAEL |
The Role of Explicit Contextual Knowledge in Learning Concepts to Improve Performance |
| 4.G |
KINTSCH, WALTER |
Learning, Memory, and Conceptual Processes |
| 4.G |
KLOPTCHENKO, ANTONINA |
Text Mining Based on the Prototype Matching Method |
| 4.G |
KNUUTILA, TIMO |
On the Inductive Inference of Regular String and Tree Languages: Academic Dissertation |
| 4.G |
KOCKA, TOMAS |
Graphical Models: Learning and Applications |
| 4.G |
KODRATOFF, YVES |
Introduction to Machine Learning |
| 4.G |
KODRATOFF, YVES |
Machine and Human Learning: Advances in European Research |
| 4.G |
KOLODIAZHNYI, KIRILL |
Hands-On Machine Learning with C++: Build, train and deploy end-to-end machine learning and deep learning pipelines |
| 4.G |
KORB, KEVIN B |
Bayesian Artificial Intelligence |
| 4.G |
KORF, RICHARD E |
Learning to Solve Problems by Searching for Macro-Operators |
| 4.G |
KUEKER, DAVID W |
Learning and Geometry: Computational Approaches |
| 4.G |
KUNG, SUN YUAN |
Biometric Authentication: A Machine Learning Approach |
| 4.G |
LAIRD, JOHN |
Universal Subgoaling and Chunking: The Automatic Generation and Learning of goal Hierarchies |
| 4.G |
LAIRD, PHILIP D |
Learning from Good and Bad Data |
| 4.G |
LAKSHMIVARAHAN, S |
Learning Algorithms Theory and Applications |
| 4.G |
LANDELIUS, TOMAS |
Reinforcement Learning and Distributed Local Model Synthesis |
| 4.G |
LANGLEY, PAT |
Elements of Machine Learning |
| 4.G |
LESKOVEC, JURE |
Mining of Massive Datasets |
| 4.G |
LIMA, PEDRO U |
Design of Intelligent Control Systems based on Hierarchical Stochastic Automata |
| 4.G |
LIN, T. Y |
Rough Sets and Data Mining: Analysis for Imprecise Data |
| 4.G |
LITTLESTONE, NICHOLAS |
Mistake Bounds and Logarithmic Linear-thereshold Learning Algorithms |
| 4.G |
LIU, BING |
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data |
| 4.G |
LIU, HUAN |
Feature Extraction, Construction and Selection: A Data Mining Perspective |
| 4.G |
LIU, HUAN |
Social Computing, Behavioral Modeling, and Prediction |
| 4.G |
LLOYD, J. W |
Logic for Learning: Learning Comprehensible Theories from Structured Data |
| 4.G |
LOVELACE, DAVID JAMES |
Natural Language Learning in a Simulated Linguistic Network: A Thesis |
| 4.G |
MACKAY, DAVID J. C |
Information Theory, Inference, and Learning Algorithms |
| 4.G |
MANI, GANESH |
Learning Language about Objects and Using this Language to Learn Futher: The Childlike System |
| 4.G |
MEIJ, JEROEN |
Dealing with the Data Flooed: Mining Data, Text and Multimedia |
| 4.G |
MENDELSON, SHAHAR |
Advanced Lectures on Machine Learning: Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002: revised lectures |
| 4.G |
MEO, ROSA |
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries |
| 4.G |
MICHALSKI, RYSZARD |
Machine Learning 1: An Artificial Intelligence Approach: Volume 1 |
| 4.G |
MICHALSKI, RYSZARD |
Machine Learning 2: An Artificial Intelligence Approach: Volume 2: Vol. 2 |
| 4.G |
MICHALSKI, RYSZARD |
Machine Learning 3: An Artificial Intelligence Approach: Volume 3: Vol. 3 |
| 4.G |
MICHALSKI, RYSZARD |
Machine Learning 4: A Multistrategy Approach: Volume 4: Vol. 4 |
| 4.G |
MICHIE, DONALD |
Machine Learning, Neural and Statistical Classification |
| 4.G |
MIELIKÄINEN, TANELI |
Summarization Techiques for Pattern Collections in Data Mining |
| 4.G |
MILLER, THOMAS W |
Data and Text Mining: A Business Applications Approach |
| 4.G |
MINTON, STEVEN |
Learning Search Control Knowledge: An Explanation-Based Approach |
| 4.G |
MINTON, STEVEN |
Machine Learning Methods for Planning |
| 4.G |
MITCHELL, BRIAN THOMAS |
Parameter Optimization Using a Hierarchical System of Learning Automata: Ph. D. 1983 |
| 4.G |
MITCHELL, TOM M |
Machine Learning |
| 4.G |
MITCHELL, TOM M |
Machine Learning: A Guide to Current Research |
| 4.G |
MITCHELL, TOM M. |
Machine Learning |
| 4.G |
MLCW |
MLCW 2005: Machine Learning Challenges: Evaluating Predictive Uncertainty Visual Object Classification and Recognizing Textual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005: revised selected papers |
| 4.G |
MLDM |
MLDM 2001: Machine Learning and Data Mining in Pattern Recognition: Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001: proceedings |
| 4.G |
MLDM |
MLDM 2003: Machine Learning and Data Mining in Pattern Recognition: Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003: proceedings |
| 4.G |
MLDM |
MLDM 2005: Machine Learning and Data Mining in Pattern Recognition: Fourth International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005: proceedings: [electronic resource] |
| 4.G |
MLDM |
MLDM '99: Machine Learning and Data Mining in Pattern Recognition: First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999: proceedings |
| 4.G |
MLMI |
MLMI 2004: Machine Learning for Multimodal Interaction: 1st International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004: revised selected papers |
| 4.G |
MLMI |
MLMI 2005: Machine Learning for Multimodal Interaction: 2nd International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005: revised selected papers |
| 4.G |
MLMI |
MLMI 2006: Machine Learning for Multimodal Interaction: 3rd International Workshop, MLMI 2006 Bethesda, MD, USA, May 1-4, 2006: revised selected papers |
| 4.G |
MLMI |
MLMI 2007: Machine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers |
| 4.G |
MLMI 2008 |
MLMI 2008: Machine Learning for Multimodal Interaction: 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008, Proceedings |
| 4.G |
MOONEY, RAYMOND J |
A General Explanation-Based Learning Mechanism and Its Application to Narrative Understanding |
| 4.G |
MORIK, KATHARINA |
Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications |
| 4.G |
MORIK, KATHARINA |
Knowledge Representation and Organization in Machine Learning |
| 4.G |
MSL 1993 |
MSL-93: Proceedings of the Second International Worshop on Multistrategy Learning: May 26-29, 1993, Harpers Ferry |
| 4.G |
MSL 1996 |
MSL-96: Proceedings of the Third International Workshop on Multistrategy Learning: May 23-25, 1996, Harpers Ferry, West Virginia |
| 4.G |
MURPHY, KEVIN P. |
Machine Learning: A Probabilistic Perspective |
| 4.G |
NAKHAEIZADEH, G |
Machine Learning and Statistics: The Interface |
| 4.G |
NARENDRA, KUMPATI S |
Learning Automata: An Introduction |
| 4.G |
NATARAJAN, BALAS KAUSIK |
Machine Learning: A Theoretical Approach |
| 4.G |
NEAPOLITAN, RICHARD E |
Learning Bayesian Networks |
| 4.G |
NEURAL NETWORKS |
Neural Networks 1997: Adaptive Processing of Sequences and Data Structures: International Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures |
| 4.G |
NIGRO, HECTOR OSCAR |
Data Mining with Ontologies: Implementations, Findings and Frameworks |
| 4.G |
NILSSON, NILS J |
Learning Machines: Foundations of Trainable Pattern-Classifying Systems |
| 4.G |
NIPS 1988 |
NIPS 01: Advances in Neural Information Processing Systems 1: 1 |
| 4.G |
NIPS 1989 |
NIPS 02: Advances in Neural Information Processing Systems 2: 2 |
| 4.G |
NIPS 1990 |
NIPS 03: Advances in Neural Information Processing Systems 3: 3 |
| 4.G |
NIPS 1991 |
NIPS 04: Advances in Neural Information Processing Systems 4: 4 |
| 4.G |
NIPS 1992 |
NIPS 05: Advances in Neural Information Processing Systems 5: 5 |
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NIPS 1993 |
NIPS 06: Advances in Neural Information Processing Systems 6 |
| 4.G |
NIPS 1994 |
NIPS 07: Advances in Neural Information Processing Systems 7 |
| 4.G |
NIPS 1995 |
NIPS 08: Advances in Neural Information Processing Systems 8: proceedings of the 1995 conference |
| 4.G |
NIPS 1996 |
NIPS 09: Advances in Neural Information Processing Systems 9: proceedings of the 1996 conference |
| 4.G |
NIPS 1997 |
NIPS 10: Advances in Neural Information Processing Systems 10: proceedings of the 1997 conference |
| 4.G |
NIPS 1998 |
NIPS 11: Advances in Neural Information Processing Systems 11: proceedings of the 1998 conference |
| 4.G |
NIPS 1999 |
NIPS 12: Advances in Neural Information Processing Systems 12: proceedings of the 1999 conference |
| 4.G |
NIPS 2000 |
NIPS 13: Advances in Neural Information Processing Systems 13: proceedings of the 2000 conference |
| 4.G |
NIPS 2001 |
NIPS 14 V1: Advances in Neural Information Processing Systems 14: Volume 1: proceedings of the 2001 conference |
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NIPS 2001 |
NIPS 14 V2: Advances in Neural Information Processing Systems 14: Volume 2: proceedings of the 2001 conference |
| 4.G |
NIPS 2002 |
NIPS 15: Advances in Neural Information Processing Systems 15: proceedings of the 2002 conference |
| 4.G |
NIPS 2003 |
NIPS 16: Advances in Neural Information Processing Systems 16: proceedings of the 2003 conference |
| 4.G |
NIPS 2004 |
NIPS 17: Advances in Neural Information Processing Systems 17: proceedings of the 2004 conference |
| 4.G |
NIPS 2005 |
NIPS 18: Advances in Neural Information Processing Systems 18: proceedings of the 2005 conference |
| 4.G |
NIPS 2006 |
NIPS 19: Advances in Neural Information Processing Systems 19: proceedings of the 2006 conference |
| 4.G |
OSDA 1995 |
OSDA 95: Ordinal and Symbolic Data Analysis: Proceedings of the International Conference on Ordinal and Symbolic Data Analysis - OSDA 95: Paris, June 20-23, 1995 |
| 4.G |
OSHERSON, DANIEL N |
Systems that Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists |
| 4.G |
PAKDD |
PAKDD-97: KDD: Techniques and Applications: Proceedings of the First Pacific-Asia Conference on Knowledge Discovery and Data Mining, 23-24 February 1997 |
| 4.G |
PAKDD |
PAKDD-98: Research and Development in Knowledge Discovery and Data Mining: Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998: proceedings |
| 4.G |
PAKDD |
PAKDD-99: Methodologies for Knowledge Discovery and Data Mining: Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 1999: proceedings |
| 4.G |
PAKDD 2000 |
PAKDD 2000: Knowledge Discovery and Data Mining: Current Issues and New Applications: 4th Pacific-Asia Conference, PAKDD 2000, Kyoto, Japan, April 18-20, 2000: proceedings |
| 4.G |
PAKDD 2001 |
PAKDD 2001: Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001, Hong Kong, China, April 16-18, 2001, Proceedings |
| 4.G |
PAKDD 2002 |
PAKDD 2002: Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002: Proceedings |
| 4.G |
PAKDD 2003 |
PAKDD 2003: Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30-May 2, 2003: proceedings |
| 4.G |
PAKDD 2004 |
PAKDD 2004: Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004: proceedings |
| 4.G |
PALIOURAS, GEORGIOS |
Machine Learning and Its Applications: Advanced Lectures |
| 4.G |
PARK, SANGCHAN |
Applying Machine Learning to the Design of Decision Support Systems for Intelligent Manufacturing: thesis |
| 4.G |
PATEL, ANKUR A. |
Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data |
| 4.G |
PAZIENZA, MARIA TERESA |
Information Extraction in the Web Era: Natural Language Communication for Knowledge Acquisition and Intelligent Information Agents |
| 4.G |
PITT, LEONARD BRIAN |
Probabilistic Inductive Inference: A Dissertation |
| 4.G |
PKDD |
PKDD 1997: Principles of Data Mining and Knowledge Discovery: First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997, Proceedings |
| 4.G |
PKDD 1998 |
PKDD '98: Principles of Data Mining and Knowledge Discovery: Second European Symposium, PKDD '98, Nantes, France, September 1998: proceedings |
| 4.G |
PKDD 1999 |
PKDD '99: Principles of Data Mining and Knowledge Discovery: Third European Conference, PKDD'99, Prague, Czech Republic, September 15-18, 1999: proceedings |
| 4.G |
PKDD 2000 |
PKDD 2000: Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000: proceedings |
| 4.G |
PKDD 2001 |
PKDD 2001: Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001: proceedings |
| 4.G |
PKDD 2002 |
PKDD 2002: Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002: proceedings |
| 4.G |
PKDD 2003 |
PKDD 2003: Knowledge Discovery in Databases: 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubronik, Croatia, September 22-26, 2003: proceedings |
| 4.G |
POZNYAK, ALEXANDER S |
Learning Automata and Stochastic Optimization |
| 4.G |
PYLE, DORIAN |
Data Preparation for Data Mining |
| 4.G |
QUINLAN, J. ROSS |
C4.5: Programs for Machine Learning |
| 4.G |
RAEDT, LUC DE |
Statistical Relational Artificial Intelligence: Logic, Probability, and Computation |
| 4.G |
RAM, ASHWIN |
Goal-Driven Learning |
| 4.G |
RASMUSSEN, CARL EDWARD |
Gaussian Processes for Machine Learning |
| 4.G |
REINARTZ, THOMAS |
Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real-World Domains |
| 4.G |
ROOS, TEEMU |
Statistical and Information-Theoretic Methods for Data Analyses |
| 4.G |
RUBENSTEIN, REUVEN Y |
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning |
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SARA |
SARA 2000: Abstraction, Reformulation, and Approximation: 4th International Symposium, SARA 2000, Lake LBJ, Texas, USA, July 26-29, 2000: proceedings |
| 4.G |
SARA |
SARA 2002: Abstraction, Reformulation, and Approximation: 5th International Symposium, SARA 2002, Kananaskis, Alberta, Canada, August 2-4, 2002: proceedings |
| 4.G |
SARA |
SARA 2005: Abstraction, Reformulation, and Approximation: 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005: proceedings |
| 4.G |
SARKER, RUHUL A |
Heuristics and Optimization for Knowledge Discovery |
| 4.G |
SCANDURA, JOSEPH M |
Structural Learning: II. Issues and Approaches |
| 4.G |
SCHAFFER, JAMES DAVID |
Some Experiments in Machine Learning Using Vector Evaluated Genetic Algorithms: dissertation |
| 4.G |
SCHAPIRE, ROBERT E |
The Design and Analysis of Efficient Learning Algorithms |
| 4.G |
SCHMALHOFER, FRANZ |
Constructive Knowledge Acquisition: A Computational Model and Experimental Evaluation |
| 4.G |
SCHÖLKOPF, BERNARD |
Advances in Kernel Methods: Support Vector Learning |
| 4.G |
SCHÖLKOPF, BERNHARD |
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond |
| 4.G |
SEGRE, ALBERTO MARIA |
Machine Learning of Robot Assembly Plans |
| 4.G |
SHAFER, GLENN |
The Art of Causal Conjecture |
| 4.G |
SHAVLIK, JUDE W |
Extending Explanation-Based Learning by Generalizing the Structure of Explanations |
| 4.G |
SHAVLIK, JUDE W |
Readings in Machine Learning |
| 4.G |
SHRAGER, JEFF |
Computational Models of Scientific Discovery and Theory Formation |
| 4.G |
SI, JENNIE |
Handbook of Learning and Approximate Dynamic Programming |
| 4.G |
SIKLÓSSY, LAURENT |
Natural Language Learning by Computer |
| 4.G |
SIMOFF, SIMEON J |
Visual Data Mining: Theory, Techniques and Tools for Visual Analytics |
| 4.G |
SIRMAKESSIS, SPIROS |
Text Mining and Its Applications: Results of the NEMIS Launch Conference |
| 4.G |
SKILLICORN, DAVID |
Knowledge Discovery for Counterterrorism and Law Enforcement |
| 4.G |
SMITH, CARL |
Hierarchies of Identification Criteria for Mechanized Inductive Inference |
| 4.G |
SOUCEK, BRANKO |
Dynamic, Genetic, and Chaotic Programming: The Sixth-Generation |
| 4.G |
SPIRTES, PETER |
Causation, Prediction, and Search |
| 4.G |
STEINWART, INGO |
Support Vector Machines |
| 4.G |
STONE, PETER |
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer |
| 4.G |
STROULIA, ELENI |
Failure-Driven Learning as Model-Based Self-Redesign |
| 4.G |
SUC, DORIAN |
Machine Reconstruction of Human Control Strategies |
| 4.G |
SUGIYAMA, MASASHI |
Density Ratio Estimation in Machine Learning |
| 4.G |
SULLIVAN, DAN |
Document Warehousing and Text Mining: Techinques for Improving Business Operations, Marketing, and Sales |
| 4.G |
SUN, RON |
Sequence Learning: Paradigms, Algorithms, and Applications |
| 4.G |
SUSSMAN, GERALD JAY |
A Computer Model of Skill Acquisition |
| 4.G |
SUTTON, RICHARD S |
Reinforcement Learning: An Introduction |
| 4.G |
SUYKENS, JOHAN A. K |
Least Squares Support Vector Machines |
| 4.G |
TECUCI, GHEORGHE |
Machine Learning and Knowledge Acquisition: Integrated Approaches |
| 4.G |
TENG, T. L |
Learning Algorithms for Multi-Class Pattern Classification and Problems Associated with on-line Handwritten Character Recognition |
| 4.G |
THORNTON, CHRISTOPHER JAMES |
Truth from Trash: How Learning Makes Sense |
| 4.G |
THURAISINGHAM, BHAVANI M |
Data Mining: Technologies, Techniques, Tools, and Trends |
| 4.G |
TSYPKIN, YA. Z |
Foundations of the Theory of Learning Systems |
| 4.G |
TURNEY, PETER DAVID |
Inductive Inference and Stability: A Thesis |
| 4.G |
TVETER, DONALD R |
The Pattern Recognition Basis of Artificial Intelligence |
| 4.G |
URSINO, DOMENICO |
Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources: Semi-Automatic Approaches and Tools |
| 4.G |
UTGOFF, PAUL E |
Machine Learning of Inductive Bias |
| 4.G |
VALDUEZA, JUAN |
The Discrete Acyclic Digraph Markov Model in Data Mining |
| 4.G |
VAMVOUDAKIS, KYRIAKOS G. |
Handbook of Reinforcement Learning and Control |
| 4.G |
VAPNIK, VLADIMIR N |
Statistical Learning Theory |
| 4.G |
VAPNIK, VLADIMIR N |
The Nature of Statistical Learning Theory |
| 4.G |
VAZIRIGIANNIS, MICHALIS |
Uncertainty Handling and Quality Assessment in Data Mining |
| 4.G |
VELOSO, MANUELA M |
Planning and Learning by Analogical Reasoning |
| 4.G |
VIDYASAGAR, M |
A Theory of Learning and Generalization: with Applications to Neural Networks and Control Systems |
| 4.G |
WEBKDD |
WEBBKDD 99: Web Usage Analysis and User Profiling: International WEBKDD '99 Workshop, San Diego, CA, USA, August 15, 1999: revised papers |
| 4.G |
WEISS, GERHARD |
Distributed Artificial Intelligence Meets Machine Learning: Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996, selected papers |
| 4.G |
WEISS, SHOLOM M |
Predictive Data Mining: A Practical Guide |
| 4.G |
WERMTER, STEFAN |
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing |
| 4.G |
WITTEN, IAN H |
Data Mining: Practical Machine Learning Tools and Techniques |
| 4.G |
WITTEN, IAN H |
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations |
| 4.G |
WOLPERT, DAVID H |
The Mathematics of Generalization: The Proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning |
| 4.G |
ZAKI, MOHAMMED J |
Large-Scale Parallel Data Mining |