662 search results - page 70 / 133 » Training a Support Vector Machine in the Primal |
106
Voted
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
100
Voted
DSS
2008
15 years 17 days ago
2008
As the Web continues to grow, it has become increasingly difficult to search for relevant information using traditional search engines. Topic-specific search engines provide an al...
100
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
—Starting from the strict interpolation equations for multivariate polynomials, an upper bound is developed for the number of patterns that can be memorized by a nonlinear feedfo...
96
Voted
ESANN
2008
15 years 1 months ago
2008
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...
ESANN
2004
15 years 1 months ago
2004
Abstract. In this paper, we propose fuzzy linear programming support vector machines (LP-SVMs) that resolve unclassifiable regions for multiclass problems. Namely, in the direction...