128 search results - page 2 / 26 » Discriminant analysis via support vectors |
VLDB
2002
ACM
13 years 4 months ago
2002
ACM
Abstract. Support vector machines (SVMs) have shown superb performance for text classification tasks. They are accurate, robust, and quick to apply to test instances. Their only po...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
OL
2007
13 years 4 months ago
2007
In this paper we construct the linear support vector machine (SVM) based on the nonlinear rescaling (NR) methodology (see [9, 11, 10] and references therein). The formulation of t...
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
NECO
2000
13 years 5 months ago
2000
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...