Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Iterative Learning Control for Multi-agent Systems Coordination / Edition 1, Author: Shiping Yang
Title: Reinforcement and Systemic Machine Learning for Decision Making / Edition 1, Author: Parag Kulkarni
Title: Concept Data Analysis: Theory and Applications / Edition 1, Author: Claudio Carpineto
Title: Optimal Learning / Edition 1, Author: Warren B. Powell
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Data Mining With Decision Trees: Theory And Applications, Author: Lior Rokach
Title: Computational Trust Models and Machine Learning / Edition 1, Author: Xin Liu
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
Title: Machine Learning and Medical Imaging, Author: Guorong Wu
Title: Probabilistic Approaches For Social Media Analysis: Data, Community And Influence, Author: Kun Yue
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
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: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Kernel Methods for Pattern Analysis / Edition 1, Author: John Shawe-Taylor
Title: Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research / Edition 1, Author: Jun Yu
Title: Incremental Version-Space Merging: A General Framework for Concept Learning / Edition 1, Author: Haym Hirsh
Title: Super-Intelligent Machines / Edition 1, Author: Bill Hibbard
Title: Learning with Nested Generalized Exemplars / Edition 1, Author: Steven L. Salzberg

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