Technical Information Theory, Inference, and Learning Algorithms (0521642981)

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Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks.

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	Herbrich, Learning Kernel Classifiers: Theory and Algorithms Ralf Herbrich, "Learning Kernel Classifiers: Theory and Algorithms"The MIT Press \| ISBN 026208306X \| 2001 Year \| PDF \| 2,54 Mb \| 384 Pages?Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learnin ...
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	Herbrich, Learning Kernel Classifiers: Theory and Algorithms Ralf Herbrich, "Learning Kernel Classifiers: Theory and Algorithms"The MIT Press \| ISBN 026208306X \| 2001 Year \| PDF \| 2,54 Mb \| 384 Pages?Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learnin ...
	Science/Engineering Information Theory, Inference & Learning Algorithms David J. C. MacKay,«Information Theory, Inference & Learning Algorithms»Cambridge University Press \| ISBN:0521642981 \| PDF \| 10,2 Mb \| 550 pages \| 2002 YearInformation theory and inference, often taught separately, are here united in one ...
	Technical Information Theory, Inference & Learning Algorithms
	Programming Extending the Scalability of Linkage Learning Genetic Algorithms: Theory Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & PracticeSpringer \| 3540284591 \| 2005 \| PDF \| 1MB \| RS \| FFGenetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied ...
	Science/Engineering Information Theory, Inference David J. C. MacKay,«Information Theory, Inference & Learning Algorithms»Cambridge University Press \| ISBN:0521642981 \| PDF \| 10,2 Mb \| 550 pages \| 2002 YearInformation theory and inference, often taught separately, are here united in one ...
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