Участник:Tatarchuk
Материал из MachineLearning.
Татарчук Александр Игоревич
Содержание |
Selective Support Vector Machines
Description
Authors V. Mottl (vmottl@ya.ru) A. Tatarchuk (aitech@ya.ru) A. Eliseev (andreyel@gmail.com)
Developed at 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;
