288 search results - page 8 / 58 » Bayesian Learning of Sparse Classifiers |
125
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
154
Voted
JCIT
2010
14 years 9 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
121
Voted
WWW
2008
ACM
16 years 2 months ago
2008
ACM
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
120
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
114
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach...