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Books Books 11 - 20 of about 47 related to The Nature of Statistical Learning Theory.   

Learning from Data: Concepts, Theory, and Methods

Vladimir Cherkassky, Filip M. Mulier - Computers - 2007 - 624 pages
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and ...
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An Introduction to Support Vector Machines and Other Kernel-based Learning ...

Nello Cristianini, John Shawe-Taylor - Computers - 2000 - 189 pages
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs ...
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Learning and Soft Computing: Support Vector Machines, Neural Networks, and ...

Vojislav Kecman - Computers - 2001 - 541 pages
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are ...
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Computer-oriented approaches to pattern recognition

Meisel - Computers - 1972 - 249 pages
Computer-oriented approaches to pattern recognition
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Neural Networks for Pattern Recognition

Christopher M. Bishop - Computers - 1995 - 482 pages
`Readers will emerge with a rigorous statistical grounding in the theory of how to construct and train neural networks in pattern recognition' New Scientist
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Generalized Regularized Learning

Wenye Li - 2007 - 109 pages
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Learning and Generalisation: With Applications to Neural Networks

Mathukumalli Vidyasagar - Computers - 2003 - 488 pages
Describes the oceans of the world, their tides and coastlines, the animals and plants that live in them, ocean exploration, and more.
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Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 ...

Shahar Mendelson, Alexander J. Smola - Computers - 2003 - 266 pages
Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a ...
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Machine Learning: Discriminative and Generative

Tony Jebara - Computers - 2012 - 200 pages
Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative ...
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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik

Bernhard Schölkopf, Zhiyuan Luo, Vladimir Vovk - Computers - 2013 - 287 pages
This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to ...
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