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87
Voted
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
83
Voted
ISCC
2000
IEEE
15 years 1 months ago
2000
IEEE
With multimedia applications, the Internet traffic increased a lot in volume, but also suffered major alterations in its nature, requesting other network services besides the curr...
ICPR
2004
IEEE
15 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...
107
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JAIR
2010
14 years 8 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
81
Voted
AI
2002
Springer
14 years 9 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...