955 search results - page 54 / 191 » Support Vector Neural Training |
108
Voted
ECML
2004
Springer
15 years 6 months ago
2004
Springer
Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to...
NIPS
2007
15 years 2 months ago
2007
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
113
Voted
JMLR
2008
15 years 24 days ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
97
Voted
TMI
2002
15 years 14 days ago
2002
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
120
Voted
CDC
2009
IEEE
15 years 1 months ago
2009
IEEE
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...