Title: Deep Learning in Computer Vision: Principles and Applications / Edition 1, Author: Mahmoud Hassaballah
Title: Probabilistic Approaches For Social Media Analysis: Data, Community And Influence, Author: Kun Yue
Title: Transfer Learning / Edition 1, Author: Qiang Yang
Title: Machine Learning and its Applications / Edition 1, Author: Peter Wlodarczak
Title: Iterative Learning Control for Multi-agent Systems Coordination / Edition 1, Author: Shiping Yang
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Learning with Uncertainty / Edition 1, Author: Xizhao Wang
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
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: Optimal Learning / Edition 1, Author: Warren B. Powell
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
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: 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: Pattern Classification Using Ensemble Methods, Author: Lior Rokach
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Design and Control of Intelligent Robotic Systems / Edition 1, Author: Dikai Liu

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