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Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
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
Title: Machine Learning for Human Motion Analysis: Theory and Practice, Author: Liang Wang
Title: Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, Author: Fabio a Gonzalez
Title: Pattern Classification Using Ensemble Methods, Author: Lior Rokach
Title: Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, Author: Anne Laurent
Title: Applied Genetic Programming and Machine Learning / Edition 1, Author: Hitoshi Iba
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Tuning Metaheuristics: A Machine Learning Perspective / Edition 1, Author: Mauro Birattari
Title: Design and Control of Intelligent Robotic Systems / Edition 1, Author: Dikai Liu
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: Machine Learning in Bioinformatics / Edition 1, Author: Yanqing Zhang
Title: Brain-Computer Interfaces: An international assessment of research and development trends / Edition 1, Author: Theodore W. Berger
Title: Introduction to Machine Learning and Bioinformatics / Edition 1, Author: Sushmita Mitra
Title: Data Mining With Decision Trees: Theory And Applications, Author: Lior Rokach

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