📄 infcache.h
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/******************************************************************************
File : InfCache.h
Date : Wednesday 13th September 2000
Author : Dr Gavin C. Cawley
Description : Class defining a structure ued to cache kernel evaluations in a
MATLAB Implementation of Vapnik's support vector machine (SVM)
[1] trained using the sequential minimal optimisation algorithm
due to Platt [2]. This class implements an infinite, i.e. it
is able to cache the entire Gram matrix.
References : [1] V. N. Vapnik, "The Nature of Statistical Learning Theory",
Springer-Verlag, New York, ISBN 0-387-94559-8, 1995.
[2] J. C. Platt, "Fast Training of Support Vector Machines using
Sequential Minimal Optimization". In B. Scholkopf, C. J. C.
Burges and A. J. Smola, editors, "Advances in Cache Methods
- Support Vector Learning", pp 185-208, MIT Press, 1998.
History : 07/07/2000 - v1.00
13/09/2000 - v1.01 minor improvements to comments
Copyright : (c) Dr Gavin C. Cawley, September 2000.
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
******************************************************************************/
class InfCache : public Cache
{
protected:
double *K;
public:
double fetch(int i, int j)
{
return K[i*ntp+j];
}
InfCache(mxArray *kernel, mxArray *x);
};
/***************************** That's all Folks! *****************************/
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