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: Brain and Perception: Holonomy and Structure in Figural Processing / Edition 1, Author: Karl H. Pribram
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
Title: Views into the Chinese Room: New Essays on Searle and Artificial Intelligence, Author: John Preston
Title: Adaptivity and Learning: An Interdisciplinary Debate / Edition 1, Author: Reimer Kïhn
Title: Machine Learning: Discriminative and Generative / Edition 1, Author: Tony Jebara
Title: Advances in Bayesian Networks / Edition 1, Author: José A. Gámez
Title: Applications of Learning Classifier Systems / Edition 1, Author: Larry Bull

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