1292 search results - page 14 / 259 » An efficient method for simplifying support vector machines |
150
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COLT
1999
Springer
15 years 8 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
107
Voted
AAAI
2006
15 years 5 months ago
2006
We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our appr...
148
Voted
KES
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
130
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
120
Voted
PRL
2006
15 years 3 months ago
2006
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...