936 search results - page 80 / 188 » Learning with Rigorous Support Vector Machines |
166
Voted
ICDM
2009
IEEE
15 years 1 months ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
113
Voted
DCC
2009
IEEE
16 years 4 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
133
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
119
Voted
CN
2010
15 years 4 months ago
2010
The focus of this work is on the estimation of quality of service (QoS) parameters seen by an application. Our proposal is based on end-to-end active measurements and statistical ...
157
Voted
JMLR
2012
13 years 6 months ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...