Участник:Tatarchuk
Материал из MachineLearning.
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'''Version''' 1.0 | '''Version''' 1.0 | ||
Версия 12:21, 14 октября 2008
Татарчук Александр Игоревич
Содержание |
Selective Support Vector Machines
Description
Authors V. Mottl A. Tatarchuk A. Eliseev
Developed at [http:\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;
