Machine learning - Books

· Adaption and Learning in Multi-Agent Systems: Ijcai '95 Workshop, Montreal, Canada, August 21, 1995, Proceedings (Lecture Notes in Computer Science, 1042)
· Adaptivity and Learning: An Interdisciplinary Debate
· Advances in Artificial Intelligence: 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, Ai'98 Vancouver, Bc, Canada, June 18-20, 1998: proceedin (Lecture Notes in Computer Science, 1418.)
· Advances in Kernel Methods: Support Vector Learning
· Advances in Large-Margin Classifiers (Neural Information Processing)
· Advances in Learning Classifier Systems
· Advances in Learning Theory: Methods, Models and Applications (NATO Science Series. Series Iii, Computer and Systems Sciences, V. 190)
· Algorithmic Learning Theory
· Algorithmic Learning Theory: 7th International Workshop, Alt '96, Sydney, Australia, October 23-25, 1996: Proceedings (Lecture Notes in Computer Science, 997)
· Algorithmic Learning Theory: 8th International Workshop, Alt 97, Sendai, Japan, October 1997: Proceedings (Lecture Notes in Computer Science, 1316.)
· Algorithmic Learning Theory: Proceedings (Lecture Notes in Artificial Intelligence)
· Algorithmic Learning Theory: Third Workshop, Alt '92 Tokyo, Japan, October 20-22, 1992: Proceedings
· An Introduction to Computational Learning Theory
· An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
· Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Notes in Computer Science, 2684.)
· Applications and Theory of Petri Nets 2002
· Automata Implementation: First International Workshop on Implementing Automata, Wia '96 London, Ontario, Canada, August 29-31, 1996: Revised Papers (Lecture Notes in Computer Science, 1260)
· Automata, Languages and Programming: 24th International Colloquium, Icalp'97, Bologna Italy, July 7-11, 1997 Proceedings (Serial)
· Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science and Data Analysis)
· Bayesian Networks and Decision Graphs
· Blondie24: Playing at the Edge of AI
· C4:5:programs for Machine Learning
· Computation and Intelligence: Collected Readings
· Computational Complexity of Machine Learning
· Computational Learning & Cognition: Proceedings of the Third NEC Research Symposium
· Computational Learning Theory and Natural Learning Systems, Vol. I: Constraints and Prospects
· Computational Learning Theory: Third European Conference, Eurocolt'97, Jerusalem, Israel, March 1997 Proceedings (Lecture Notes in Computer Science, 1208)
· Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
· Elements of Machine Learning
· Fme 2002: Formal Methods-Getting It Right: International Symposium of Formal Methods Europe, Copenhagen, Denmark, July 2002: Proceedings (Lecture Notes in Computer Science, 2391)
· From Synapses to Rules: Discovering Symbolic Rules from Neural Processed Data
· Fuzzy Rule-Based Expert Systems and Genetic Machine Learning (Studies in Fuzziness and Soft Computing, Vol 3)
· Genetic Algorithms in Search, Optimization, and Machine Learning
· Geometric Computing for Perception Action Systems: Concepts, Algorithms, and Scientific Applications
· Grammatical Inference: Learning Syntax from Sentences: Third International Colloquium, Icgi-96 Montpellier, France, September 25-27, 1996: Proceedings (Lecture Notes in Computer Science, 1147)
· Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)
· How to Build a Person: A Prolegomenon
· Human and Machine Perception 2: Emergence, Attention and Creativity
· ICML '01: 18th International Conference on Machine Learning
· ICML '02: 19th International Conferenceon Machine Learning
· Imitation in Animals and Artifacts (Complex Adaptive Systems)
· Information and Randomness: An Algorithmic Perspective (Eatcs Monographs on Theoretical Computer Science.)
· Interactive Theory Revision: An Inductive Logic Programming Approach (Knowledge-Based Systems Series)
· Introduction to Languages, Machines, and Logic
· Introduction to the Theory of Computation
· Kernel Methods for Pattern Analysis
· Lattice-Gas Cellular Automata and Lattice Boltzmann Models: An Introduction (Lecture Notes in Mathematics (Springer-Verlag), 1725.)
· Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer (Intelligent Robotics and Autonomous Agents)
· Learning and Generalization: With Applications to Neural Networks
· Learning Automata and Stochastic Optimization (Lecture Notes in Control and Information Sciences, 225)
· Learning Automata: Theory and Applications
· Learning Classifier Systems: From Foundations to Applications (Lecture Notes in Computer Science, 1813.)
· Learning from Data : Concepts, Theory, and Methods
· Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
· Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms (Kluwer International Series in Engineering and Computer Science, 668)
· Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
· Logic and Learning
· Machine Intelligence 14: Applied Machine Intelligence (Machine Intelligence)
· Machine Intelligence: Machine Intelligence and Inductive Learning (Machine Intelligence and Inductive Learning)
· Machine Learning
· Machine Learning and Data Mining in Pattern Recognition: First International Workshop, Mldm'99, Leipzig, Germany, September 16-18, 1999, Proceedings (Lecture Notes in Artificial Intelligence)
· Machine Learning and Data Mining in Pattern Recognition: Third International Conference, Mldm 2003, Leipzig, Germany, July 25 5-7, 2003, Proceedings (Lecture Notes in Artificial Intelligence)
· Machine Learning and Data Mining: Methods and Applications
· Machine Learning Methods for Ecological Applications
· Machine Learning of Inductive Bias (Kluwer International Series in Engineering and Computer Science, 15)
· Machine Learning Proceedings 2000
· Machine Learning: A Guide to Current Research (Kluwer International Series in Engineering and Computer Science, 12)
· Machine Learning: Ecml 2000: 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31-June 2, 2000 Proceedings (Lecture Notes in Computer Science, 1810)
· Machine Learning: Ecml 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002: Proceedings (Lecture Notes in Computer Science, 2430.)
· Machine Learning: From Theory to Applications: Cooperative Research at Siemens and Mit (Lectue Notes in Computer Science, 661)
· Machines That Learn To Play Games (Volume 8 in the Advances in Computation: Theory and
· Mathematical Foundations of Learning Machines
· Multiple Classifier Systems: Third International Workshop, McS 2002, Cagliari, Italy, June 24-26, 2002 Proceedings (Lecture Notes in Computer Science, 2364)
· Parallel Image Analysis: Tools and Models (Series in Machine Perception and Artificial Intelligence , Vol 31)
· Pattern Recognition & Machine Learning
· Perceptrons - Expanded Edition: An Introduction to Computational Geometry
· Readings in Machine Learning
· Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability
· Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
· Reusable Components for Knowledge Modelling
· Robot Shaping: An Experiment in Behavior Engineering (Intelligent Robotics and Autonomous Agents)
· Strength or Accuracy: Credit Assignment in Learning Classifier Systems (Distinguished Dissertations)
· Super-Intelligent Machines (Ifsr International Series on Systems Science and Engineering)
· The Artificial Intelligence Debate: False Starts, Real Foundations
· Thinking Between the Lines: Computers and the Comprehension of Causal Descriptions (Artificial Intelligence)
· Truth from Trash: How Learning Makes Sense (Complex Adaptive Systems)
· Turing's Connectionism: An Investigation of Neural Network Architectures
· Verbmobil: Foundations of Speech-To-Speech Translation
· Views into the Chinese Room: New Essays on Searle and Artificial Intelligence