Title: Machine Learning of Inductive Bias / Edition 1, Author: Paul E. Utgoff
Title: Machine Learning Methods for Ecological Applications / Edition 1, Author: Alan H. Fielding
Title: Machine Learning: A Guide to Current Research / Edition 1, Author: Tom M. Mitchell
Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed
Title: Tuning Metaheuristics: A Machine Learning Perspective / Edition 1, Author: Mauro Birattari
Title: Learning with Uncertainty / Edition 1, Author: Xizhao Wang
Title: Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, Author: Anne Laurent
Title: Data Mining With Decision Trees: Theory And Applications, Author: Lior Rokach
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Geometric Computing for Perception Action Systems: Concepts, Algorithms, and Scientific Applications / Edition 1, Author: Eduardo Bayro Corrochano
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Brain-Computer Interfaces: An international assessment of research and development trends / Edition 1, Author: Theodore W. Berger
Title: Adaptivity and Learning: An Interdisciplinary Debate / Edition 1, Author: Reimer Kïhn
Title: Advances in Bayesian Networks / Edition 1, Author: José A. Gámez
Title: Machine Learning: Discriminative and Generative / Edition 1, Author: Tony Jebara
Title: Handbook of Learning and Approximate Dynamic Programming / Edition 1, Author: Jennie Si
Title: Evolvable Machines: Theory & Practice / Edition 1, Author: Nadia Nedjah
Title: Machine Learning and Image Interpretation / Edition 1, Author: Terry Caelli
Title: Machine Reconstruction in Human Control Strategies, Author: D. Suc
Title: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning / Edition 1, Author: Reuven Y. Rubinstein

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