1011 search results - page 4 / 203 » Feature Selection for Support Vector Machines |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
NIPS
2000
13 years 9 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
NIPS
2007
13 years 9 months ago
2007
Many tasks in speech processing involve classification of long term characteristics of a speech segment such as language, speaker, dialect, or topic. A natural technique for dete...