Title: Pattern Recognition in Chemistry, Author: Kurt Varmuza
Title: Machine Learning: An Artificial Intelligence Approach (Volume I), Author: Ryszard S. Michalski
Title: Machine Learning: A Guide to Current Research / Edition 1, Author: Tom M. Mitchell
Title: Machine Learning of Inductive Bias / Edition 1, Author: Paul E. Utgoff
Title: Learning from Good and Bad Data / Edition 1, Author: Philip D. Laird
Title: The Artificial Intelligence Debate: False Starts, Real Foundations, Author: Stephen R. Graubard
Title: Knowledge Representation and Organization in Machine Learning, Author: Katharina Morik
Title: Machine Learning, Meta-Reasoning and Logics / Edition 1, Author: Pavel B. Brazdil
Title: Machine Learning of Natural Language, Author: David M.W. Powers
Title: Change of Representation and Inductive Bias / Edition 1, Author: D. Paul Benjamin
Title: Machine Learning: Paradigms and Methods, Author: Jaime Carbonell
Title: Learning with Nested Generalized Exemplars / Edition 1, Author: Steven L. Salzberg
Title: Incremental Version-Space Merging: A General Framework for Concept Learning / Edition 1, Author: Haym Hirsh
Title: Brain and Perception: Holonomy and Structure in Figural Processing / Edition 1, Author: Karl H. Pribram
Title: Machine Learning: A Theoretical Approach, Author: Balas K. Natarajan
Title: Connectionist Approaches to Language Learning / Edition 1, Author: David Touretzky
Title: C4.5: Programs for Machine Learning, Author: J. Ross Quinlan
Title: Investigating Explanation-Based Learning / Edition 1, Author: Gerald DeJong
Title: Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications / Edition 1, Author: Nicolaos Karayiannis
Title: Generating Abstraction Hierarchies: An Automated Approach to Reducing Search in Planning / Edition 1, Author: Craig A. Knoblock

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