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A Theory of Learning and Generalization

by M. Vidyasagar

Provides a formal mathematical theory for addressing intuitive questions of the type: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the output of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time? ...



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Nearest-Neighbor Methods in Learning and Vision: Theory and Practice

by Gregory Shakhnarovich
Piotr Indyk
Trevor Darrell

This book features advances in computational geometry and machine learning that offer new methods for search, regression, and classification with large amounts of high-dimensional data. Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on larg...



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Popular Machine Learning books and eBooks in the last 24 hours

Kernel Methods in Bioengineering, Signal and Image Processing by Gustavo Camps-Valls (Editor),Jose Luis Rojo-Alvarez (Editor),Manel Martinez-Ramon (Editor)
Gustavo Camps-Valls (Editor)
Jose Luis Rojo-Alvarez (Editor)
Manel Martinez-Ramon (Editor)

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Dynamics of Advanced Materials and Smart Structures by Kazumi Watanabe (Editor),Franz Ziegler (Editor)
Kazumi Watanabe (Editor)
Franz Ziegler (Editor)

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Advanced Lectures on Machine Learning by Shahar Mendelson (Editor),Alexander J. Smola (Editor)
Shahar Mendelson (Editor)
Alexander J. Smola (Editor)

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Advances in Machine Learning Applications in Software Engineering by Du Zhang,Jeffery J.-P. Tsai
Du Zhang
Jeffery J.-P. Tsai

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Evolutionary Algorithms for Single and Multicriteria Design Optimization by Andrzej Osyczka
Andrzej Osyczka

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Rough Sets, Fuzzy Sets and Knowledge Discovery: Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD'93), Banff, Alberta, Canada, 12-15 October 1993 by Wojciech Ziarko
Wojciech Ziarko

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A Compendium of Machine Learning: Symbolic Learning v. 1 by Garry Briscoe,Terry Caelli
Garry Briscoe
Terry Caelli

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Learning from Data by Vladimir Cherkassky,Filip M. Mulier
Vladimir Cherkassky
Filip M. Mulier

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Principles of Data Mining by Darryl Davis
Darryl Davis

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Practical Genetic Algorithms by Randy L. Haupt,Sue Ellen Haupt
Randy L. Haupt
Sue Ellen Haupt

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