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Pattern Recognition and Machine Learning by Christopher M. Bishop
Textbook Hardcover - New Edition
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The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms ... More
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Introduction to Machine Learning by Ethem Alpaydin
Textbook Hardcover - New Edition
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An introductory text in machine learning that gives a unified treatment of methods based on statistics, pattern recognition, neural networks, artificial intelligence, signal ... More
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Prediction, Learning, and Games by Nicolo Cesa-Bianchi, Gabor Lugosi
Hardcover
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Prediction using expert advice provides a general framework for repeated game playing, adaptive data compression, sequential investments, sequential pattern analysis and ... More
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Adaptive Blind Signal and Image Processing : Learning Algorithms and Applications by Andrzej Cichocki, Shun-ichi Amari
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With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume ... More
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Advances in Bayesian Networks by Jost A. G_mez (Editor) , Serafin Moral (Editor) , Antonio Salmer=n (Editor)
Hardcover
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In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as ... More
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Advances in Large-Margin Classifiers by Peter J. Bartlett (Editor) , Bernhard Scholkopf (Editor) , Dale Schuurmans (Editor) , Bernhard Schölkopf (Editor) , Alex J Smola (Editor)
Hardcover
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The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths ... More
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Advances in Machine Learning Applications in Software Engineering by Zhang, Jeffrey J. P. Tsai
Hardcover
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Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of developing and maintaining larger and ... More
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Advances in Minimum Description Length : Theory and Applications by Peter D. Grunwald (Editor) , In Jae Myung (Editor) , Mark A. Pitt (Editor)
Hardcover
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A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to ... More
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Algorithmic Learning in a Random World by Alexander Gammerman, Glenn Shafer, Vladimir Vovk
Hardcover
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Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of ... More
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Applications of Learning Classifier Systems by Larry Bull, Larry Bull (Editor)
Hardcover
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This carefully edited book brings together a fascinating selection of applications of Learning Classifier Systems (LCS). The book demonstrates the utility of this machine ... More
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