1011 search results - page 35 / 203 » Feature Selection for Support Vector Machines |
PVM
2005
Springer
14 years 1 months ago
2005
Springer
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
WINE
2005
Springer
14 years 1 months ago
2005
Springer
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
NAACL
2004
13 years 9 months ago
2004
In this paper, we propose a machine learning algorithm for shallow semantic parsing, extending the work of Gildea and Jurafsky (2002), Surdeanu et al. (2003) and others. Our algor...
NECO
1998
13 years 7 months ago
1998
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...