3236 search results - page 24 / 648 » Active kernel learning |
130
Voted
NN
2010
Springer
14 years 7 months ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
106
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ALT
2001
Springer
15 years 9 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
102
Voted
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
137
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JMLR
2012
13 years 3 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
104
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
