288 search results - page 17 / 58 » Bayesian Learning of Sparse Classifiers |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
AAAI
1996
13 years 9 months ago
1996
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...