288 search results - page 8 / 58 » Bayesian Learning of Sparse Classifiers |
ICML
2007
IEEE
14 years 10 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...
JCIT
2010
13 years 3 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...
WWW
2008
ACM
14 years 9 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...
ICML
2004
IEEE
14 years 10 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...
ICPR
2004
IEEE
14 years 10 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...