Title: Machine Learning and Statistical Modeling Approaches to Image Retrieval / Edition 1, Author: Yixin Chen
Title: Learning with Nested Generalized Exemplars / Edition 1, Author: Steven L. Salzberg
Title: Machine Learning: Discriminative and Generative / Edition 1, Author: Tony Jebara
Title: Semantic Labeling of Places with Mobile Robots / Edition 1, Author: Óscar Martinez Mozos
Title: Connectionist Approaches to Language Learning / Edition 1, Author: David Touretzky
Title: Machine Learning of Inductive Bias / Edition 1, Author: Paul E. Utgoff
Title: Adaptivity and Learning: An Interdisciplinary Debate / Edition 1, Author: Reimer Kïhn
Title: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning / Edition 1, Author: Te-Ming Huang
Title: Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research / Edition 1, Author: Jun Yu
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: Probabilistic Approaches For Social Media Analysis: Data, Community And Influence, Author: Kun Yue
Title: Kernel Methods for Pattern Analysis / Edition 1, Author: John Shawe-Taylor
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Machine Learning and Medical Imaging, Author: Guorong Wu
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
Title: Computational Trust Models and Machine Learning / Edition 1, Author: Xin Liu
Title: A Primer on Machine Learning Applications in Civil Engineering / Edition 1, Author: Paresh Chandra Deka
Title: Data Mining With Decision Trees: Theory And Applications, Author: Lior Rokach

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