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: Investigating Explanation-Based Learning / Edition 1, Author: Gerald DeJong
Title: Machine Intelligence 13: Machine Intelligence and Inductive Learning, Author: K. Furukawa
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
Title: Machine Intelligence 14: Applied Machine Intelligence / Edition 14, Author: K. Furukawa
Title: Symbolic Visual Learning / Edition 1, Author: Katsushi Ikeuchi
Title: Machine Learning and Image Interpretation / Edition 1, Author: Terry Caelli
Title: Reusable Components for Knowledge Modelling / Edition 1, Author: E Motta
Title: Machine Learning Methods for Ecological Applications / Edition 1, Author: Alan H. Fielding
Title: Modelling Changes in Understanding: Case Studies in Physical Reasoning / Edition 1, Author: D. Kayser
Title: Geometric Computing for Perception Action Systems: Concepts, Algorithms, and Scientific Applications / Edition 1, Author: Eduardo Bayro Corrochano
Title: Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability / Edition 1, Author: Danilo P. Mandic
Title: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications / Edition 1, Author: Andrzej Cichocki

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