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Title: Machine Learning and its Applications / Edition 1, Author: Peter Wlodarczak
Title: Symbolic Visual Learning / Edition 1, Author: Katsushi Ikeuchi
Title: Incremental Version-Space Merging: A General Framework for Concept Learning / Edition 1, Author: Haym Hirsh
Title: Machine Learning for Human Motion Analysis: Theory and Practice, Author: Liang Wang
Title: Multi-Objective Machine Learning / Edition 1, Author: Yaochu Jin
Title: Learning in Non-Stationary Environments: Methods and Applications / Edition 1, Author: Moamar Sayed-Mouchaweh
Title: Automatic Learning Techniques in Power Systems / Edition 1, Author: Louis A. Wehenkel
Title: Rough Sets and Data Mining: Analysis of Imprecise Data / Edition 1, Author: T.Y. Lin
Title: Super-Intelligent Machines / Edition 1, Author: Bill Hibbard
Title: Learning and Generalisation: With Applications to Neural Networks / Edition 2, Author: Mathukumalli Vidyasagar
Title: Learning to Learn / Edition 1, Author: Sebastian Thrun
Title: Learning with Nested Generalized Exemplars / Edition 1, Author: Steven L. Salzberg
Title: Handbook Of Pattern Recognition And Computer Vision (3rd Edition) / Edition 3, Author: Chi Hau Chen
Title: Applied Genetic Programming and Machine Learning / Edition 1, Author: Hitoshi Iba
Title: Learning with Uncertainty / Edition 1, Author: Xizhao Wang
Title: Machine Learning and Robot Perception / Edition 1, Author: Bruno Apolloni
Title: Applications of Learning Classifier Systems / Edition 1, Author: Larry Bull
Title: Machine Learning and Data Mining for Computer Security: Methods and Applications / Edition 1, Author: Marcus A. Maloof
Title: Learning from Data: Concepts, Theory, and Methods / Edition 2, Author: Vladimir Cherkassky

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