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Get Free Ebook Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)

Get Free Ebook Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)

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Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)

Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)


Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)


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Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)

About the Author

Ralf Herbrich is a Postdoctoral Researcher in the Machine Learning and Perception Group at Microsoft Research Cambridge and a Research Fellow of Darwin College, University of Cambridge.

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Product details

Series: Adaptive Computation and Machine Learning series

Hardcover: 384 pages

Publisher: The MIT Press (December 15, 2001)

Language: English

ISBN-10: 026208306X

ISBN-13: 978-0262083065

Product Dimensions:

7 x 1.4 x 9 inches

Shipping Weight: 1.9 pounds (View shipping rates and policies)

Average Customer Review:

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Amazon Best Sellers Rank:

#1,665,370 in Books (See Top 100 in Books)

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Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning) PDF
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning) PDF

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