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Classifiers



 
 
 
 

Classifiers


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Classifiers

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Advances in Large-Margin Classifiers Programming Advances in Large-Margin Classifiers
Peter J. Bartlett, Bernhard Schokopf , Dale Schuurmans, Alex J Smola, "Advances in Large-Margin Classifiers" The MIT Press; 2000; ISBN: 0262194481; 422 pages; PDF; 3,8 MB The concept of large margins is a unifying principle for the ...  
Tags : Advances   Classifiers   , Posted on 2010-03-16
 
Combining Pattern Classifiers: Methods and Algorithms Combining Pattern Classifiers: Methods and Algorithms
Ludmila I. KunchevaCombining Pattern Classifiers: Methods and AlgorithmsWiley-Interscience; ISBN: 0471210781; 2004; 350 pages; PDF; 2.8 MBMail sorting, medical test reading, military target recognition, signature verification, meteorol ...  
Tags : Pattern   Algorithms   Classifiers   Combining   Methods   , Posted on 2010-04-15
 
Herbrich, Learning Kernel Classifiers: Theory and Algorithms 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 ...  
Tags : Theory   Learning   Kernel   Algorithms   Classifiers   , Posted on 2010-03-15
 
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning) Mathematics Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Author: Ralf HerbrichPublisher: The MIT Press (2001)Binding: Hardcover, 384 pagespricer: 45.00ISBN-10: 026208306XeditorialreviewsLinear Classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The ke ...  
Tags : Machine   Kernel   Theory   Learning   Computation   , Posted on 2010-04-16
 
Learning Kernel Classifiers: Theory and Algorithms  (Adaptive Computation and Machine Learning) Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Ralf Herbrich, "Learning Kernel Classifiers: Theory and Algorithms" The M.I.T Press; 2001; ISBN: 026208306X; 384 pages; PDF; 2,4 MB Linear Classifiers in kernel spaces have emerged as a major topic within the field of machine learn ...  
Tags : Computation   Learning   Theory   Kernel   Machine   , Posted on 2010-12-09
 



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