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Title: The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar / Edition 1, Author: Partha Niyogi
Title: Super-Intelligent Machines / Edition 1, Author: Bill Hibbard
Title: Incremental Version-Space Merging: A General Framework for Concept Learning / Edition 1, Author: Haym Hirsh
Title: Advances in Bayesian Networks / Edition 1, Author: José A. Gámez
Title: Semantic Labeling of Places with Mobile Robots / Edition 1, Author: Óscar Martinez Mozos
Title: Tuning Metaheuristics: A Machine Learning Perspective / Edition 1, Author: Mauro Birattari
Title: Learning with Nested Generalized Exemplars / Edition 1, Author: Steven L. Salzberg
Title: Connectionist Approaches to Language Learning / Edition 1, Author: David Touretzky
Title: Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research / Edition 1, Author: Jun Yu
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Kernel Methods for Pattern Analysis / Edition 1, Author: John Shawe-Taylor
Title: Deep Learning in Computer Vision: Principles and Applications / Edition 1, Author: Mahmoud Hassaballah
Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Probabilistic Approaches For Social Media Analysis: Data, Community And Influence, Author: Kun Yue
Title: Machine Learning and Medical Imaging, Author: Guorong Wu
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
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Title: Data Mining With Decision Trees: Theory And Applications, Author: Lior Rokach

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