1584 search results - page 37 / 317 » Data selection for support vector machine classifiers |
125
click to vote
BMCBI
2011
14 years 4 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
IJCSA
2008
14 years 9 months ago
2008
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
118
click to vote
DAGM
2004
Springer
15 years 1 months ago
2004
Springer
Abstract. In this paper, we present a novel method for reducing the computational complexity of a Support Vector Machine (SVM) classifier without significant loss of accuracy. We a...
ML
2002
ACM
14 years 9 months ago
2002
ACM
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
SMC
2007
IEEE
15 years 4 months ago
2007
IEEE
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...