1062 search results - page 25 / 213 » Sublinear Optimization for Machine Learning |
149
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
128
Voted
ICASSP
2008
IEEE
15 years 11 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
133
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
150
Voted
ICML
2003
IEEE
15 years 9 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
162
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ACML
2009
Springer
15 years 8 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...