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Support Vector Machines For Pattern Classification

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Support Vector Machines For Pattern ClassificationISBN13:9781849960977ISBN10:1849960976Author:Abe, Shigeo (Author)Description:A Guide On The Use Of Svms In Pattern Classification, Including A Rigorous Performance Comparison Of Classifiers And Regressors The Book Presents Architectures For Multiclass Classification And Function Approximation Problems, As Well As Evaluation Criteria For Classifiers And Regressors Features: Clarifies The Characteristics Of Two-Class Svms; Discusses Kernel Methods For Improving The Generalization Ability Of Neural Networks And Fuzzy Systems; Contains Ample Illustrations And Examples; Includes Performance Evaluation Using Publicly Available Data Sets; Examines Mahalanobis Kernels, Empirical Feature Space, And The Effect Of Model Selection By Cross-Validation; Covers Sparse Svms, Learning Using Privileged Information, Semi-Supervised Learning, Multiple Classifier Systems, And Multiple Kernel Learning; Explores Incremental Training Based Batch Training And Active-Set Training Methods, And Decomposition Techniques For Linear Programming Svms; Discusses Variable Selection For Support Vector Regressors Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2010-03-29Weight:1.9 lbsDimensions:1.06'' H x 9.21'' L x 6.14'' WNumber of Pages:473Language:English

Price: 157.23 USD

Location: USA

End Time: 2024-10-23T11:12:06.000Z

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Support Vector Machines For Pattern Classification

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Book Title: Support Vector Machines For Pattern Classification

Item Length: 9.3in

Item Width: 6.1in

Author: Shigeo a.b.e.

Publication Name: Support Vector Machines for Pattern Classification

Format: Hardcover

Language: English

Publisher: Springer London, The Limited

Series: Advances in Computer Vision and Pattern Recognition Ser.

Publication Year: 2010

Type: Textbook

Item Weight: 67 Oz

Number of Pages: Xx, 473 Pages

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