1416 search results - page 118 / 284 » Optimal feature selection for support vector machines |
ICCS
2001
Springer
14 years 11 days ago
2001
Springer
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
CVPR
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
ISBI
2009
IEEE
14 years 2 months ago
2009
IEEE
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...