288 search results - page 12 / 58 » Bayesian Learning of Sparse Classifiers |
112
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
108
click to vote
ICDAR
2009
IEEE
14 years 9 months ago
2009
IEEE
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
113
click to vote
FLAIRS
2008
15 years 2 months ago
2008
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
106
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
117
Voted
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...