3236 search results - page 104 / 648 » Active kernel learning |
117
Voted
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
During the last years, the use of string kernels that compare documents has been shown to achieve good results on text classification problems. In this paper we introduce the appl...
89
Voted
DCC
2009
IEEE
16 years 1 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...
120
Voted
SARA
2007
Springer
15 years 6 months ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
90
Voted
AAAI
2008
15 years 3 months ago
2008
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
113
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WSOM
2009
Springer
15 years 7 months ago
2009
Springer
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...