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(Description)
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'''Developed at'''
'''Developed at'''
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Computing Center of Academy of Sceince, Moscow, Russia
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[www.ccas.ru Computing Center of Academy of Sceince], Moscow, Russia
'''Version''' 1.0
'''Version''' 1.0

Версия 12:20, 14 октября 2008

Татарчук Александр Игоревич

Содержание

Selective Support Vector Machines

Description

Authors V. Mottl A. Tatarchuk A. Eliseev

Developed at [www.ccas.ru Computing Center of Academy of Sceince], Moscow, Russia

Version 1.0

Date 14.10.2008

Overview

SelSVMs are modifications of classical Support Vector Machine provided with controlled selectivity property of feature/kernel selection.

The main features of the algorithms are the following:

  • work on small training sets with large number of features/kernels;
  • provide feature selection with controlled selectivity level;
  • use Matlab optimization solver and Mosek solver;
  • support precompiled kernels;
  • return a posteriori probability estimates;


How to use

Matlab code

Publications

Личные инструменты