Language:

Support Vector Machines

Machine Learning in Image Steganalysis, 2012, p.179-196

Full text available

Citations Cited by

Title:
Support Vector Machines
Author: Schaathun, Hans Georg
Schaathun, Hans Georg
Subjects: kernel trick, generalising to other algorithms ; Machine learning ; minimisation problem from linearly separable, errors to cost function ; multi‐class, one‐against‐one with faster training time ; non‐separable, and number of classification errors ; Signal processing ; simple linear, kernel trick in calculating non‐linear, and the linear ; Support Vector Machines ; SVM as a linear classifier ; SVM success, and the so‐called kernel trick ; SVM, algorithms for starters in machine learning ; SVM, to one‐class/multi‐class as binary to multi‐class classifier
Is Part Of: Machine Learning in Image Steganalysis, 2012, p.179-196
Description: This chapter contains sections titled: Linear Classifiers The Kernel Function ��-SVM Multi-class Methods One-class Methods Summary
Related Titles: Wiley - IEEE
Publisher: United Kingdom: Wiley
Language: English
Identifier: ISBN: 9780470663059
ISBN: 0470663057
EISBN: 9781118437964
EISBN: 1118437950
EISBN: 1118437969
EISBN: 9781118437988
EISBN: 9781118437957
EISBN: 1118437985
DOI: 10.1002/9781118437957.ch11
OCLC: 795645159
LCCallNum: Q325.5.S285 2012
Source: Ebook Central Academic Complete

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

Searching Remote Databases, Please Wait