Sciweavers

654 search results - page 22 / 131
» TRUST-TECH based Methods for Optimization and Learning
Sort
View
TEC
2008
149views more  TEC 2008»
15 years 16 days ago
Biogeography-Based Optimization
Abstract--We propose a novel variation to biogeographybased optimization (BBO), which is an evolutionary algorithm (EA) developed for global optimization. The new algorithm employs...
Dan Simon
ICML
2004
IEEE
16 years 1 months ago
Multiple kernel learning, conic duality, and the SMO algorithm
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
Francis R. Bach, Gert R. G. Lanckriet, Michael I. ...
111
Voted
IJAR
2010
130views more  IJAR 2010»
14 years 11 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ICIP
2004
IEEE
16 years 2 months ago
Retin al: an active learning strategy for image category retrieval
Active learning methods have been considered with an increasing interest in the content-based image retrieval (CBIR) community. In this article, we propose an efficient method bas...
Philippe Henri Gosselin, Matthieu Cord
109
Voted
ESANN
2001
15 years 2 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català