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Title: Pattern Classification Using Ensemble Methods, Author: Lior Rokach
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Learning in Non-Stationary Environments: Methods and Applications / Edition 1, Author: Moamar Sayed-Mouchaweh
Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed
Title: Machine Learning in Bioinformatics / Edition 1, Author: Yanqing Zhang
Title: Concept Data Analysis: Theory and Applications / Edition 1, Author: Claudio Carpineto
Title: Learning from Good and Bad Data / Edition 1, Author: Philip D. Laird
Title: Change of Representation and Inductive Bias / Edition 1, Author: D. Paul Benjamin
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
Title: Modelling Changes in Understanding: Case Studies in Physical Reasoning / Edition 1, Author: D. Kayser
Title: Deep Learning In Biology And Medicine, Author: Davide Bacciu
Title: Genetic Learning for Adaptive Image Segmentation / Edition 1, Author: Bir Bhanu
Title: Machine Learning for Human Motion Analysis: Theory and Practice, Author: Liang Wang
Title: Geometric Computing for Perception Action Systems: Concepts, Algorithms, and Scientific Applications / Edition 1, Author: Eduardo Bayro Corrochano
Title: Adaptivity and Learning: An Interdisciplinary Debate / Edition 1, Author: Reimer Kïhn
Title: Optimal Learning / Edition 1, Author: Warren B. Powell
Title: The Mathematics Of Generalization / Edition 1, Author: David. H Wolpert
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