Learning kernel classifiers, theory and algorithms -(E-BOOK) Ralf Herbrich.
Series: Adaptive computation and machine learningPublisher: Cambridge, Mass. : MIT Press, c2002Description: xx, 364 p. : ill. ; 24 cmISBN: 026208306X (hc. : alk. paper)Subject(s): Algorithms | Machine learning | E-BOOKDDC classification: 006.31
Contents:
Introduction (Page-1), Kernel Classifiers From A Machine Learning Perspective (Page-17), Kernel Classifiers From A Bayesian Perspective (Page-73), Mathematical Models Of Learning (Page-115),Bounds For Specific Algorithms (Page-163).
| Item type | Current location | Home library | Collection | Call number | URL | Status | Date due | Barcode | Item holds |
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Military College of Signals (MCS) | Military College of Signals (MCS) | NFIC | 006.31 HER (Browse shelf) | Link to resource | Available | MCSEB-858 |
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Introduction (Page-1), Kernel Classifiers From A Machine Learning Perspective (Page-17), Kernel Classifiers From A Bayesian Perspective (Page-73), Mathematical Models Of Learning (Page-115),Bounds For Specific Algorithms (Page-163).
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