148 search results - page 5 / 30 » Feature Selection for Support Vector Machines by Means of Ge... |
NIPS
2000
13 years 8 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...
TMI
2010
13 years 5 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
JMLR
2008
13 years 7 months ago
2008
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...