447 search results - page 10 / 90 » Choosing Multiple Parameters for Support Vector Machines |
NIPS
1998
13 years 9 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...