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Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed
Title: Computational Trust Models and Machine Learning / Edition 1, Author: Xin Liu
Title: Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research / Edition 1, Author: Jun Yu
Title: Reinforcement and Systemic Machine Learning for Decision Making / Edition 1, Author: Parag Kulkarni
Title: Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, Author: Siddhivinayak Kulkarni
Title: Optimal Learning / Edition 1, Author: Warren B. Powell
Title: Learning in Non-Stationary Environments: Methods and Applications / Edition 1, Author: Moamar Sayed-Mouchaweh
Title: Ensemble Machine Learning: Methods and Applications / Edition 1, Author: Cha Zhang
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Detection and Identification of Rare Audio-visual Cues, Author: Daphna Weinshall
Title: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics / Edition 1, Author: Anirban DasGupta
Title: Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives / Edition 1, Author: Jose C. Principe
Title: Semantic Labeling of Places with Mobile Robots / Edition 1, Author: Óscar Martinez Mozos
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Title: Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, Author: Fabio a Gonzalez
Title: Pattern Classification Using Ensemble Methods, Author: Lior Rokach

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