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: Machine Learning, Meta-Reasoning and Logics / Edition 1, Author: Pavel B. Brazdil
Title: Change of Representation and Inductive Bias / Edition 1, Author: D. Paul Benjamin
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: Connectionist Approaches to Language Learning / Edition 1, Author: David Touretzky
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
Title: Robot Learning / Edition 1, Author: J. H. Connell
Title: Multistrategy Learning: A Special Issue of MACHINE LEARNING / Edition 1, Author: Ryszard S. Michalski
Title: Genetic Algorithms for Machine Learning / Edition 1, Author: John J. Grefenstette
Title: Genetic Learning for Adaptive Image Segmentation / Edition 1, Author: Bir Bhanu
Title: Machine Intelligence 13: Machine Intelligence and Inductive Learning, Author: K. Furukawa
Title: Explanation-Based Neural Network Learning: A Lifelong Learning Approach / Edition 1, Author: Sebastian Thrun
Title: Recent Advances in Robot Learning: Machine Learning / Edition 1, Author: Judy A. Franklin
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman

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