1812 search results - page 193 / 363 » A Support Vector Clustering Method |
131
Voted
ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
The Scanning N-Tuple classifier (SNT) is a fast and accurate method for classifying sequences. Applications include both on-line and off-line hand-written character recognition. S...
123
Voted
MICCAI
2004
Springer
16 years 4 months ago
2004
Springer
We present a novel feature screening algorithm by deriving relevance measures from the decision boundary of Support Vector Machines. It alleviates the "independence" assu...
145
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CIBCB
2005
IEEE
15 years 9 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
145
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AIME
2009
Springer
15 years 8 months ago
2009
Springer
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
118
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...