Sciweavers

603 search results - page 6 / 121
» An Integrated Approach to Learning Bayesian Networks of Rule...
Sort
View
ICML
1996
IEEE
16 years 14 days ago
Discretizing Continuous Attributes While Learning Bayesian Networks
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...
Moisés Goldszmidt, Nir Friedman
ISCC
2000
IEEE
106views Communications» more  ISCC 2000»
15 years 4 months ago
Packet Scheduling Based on Learning in the Next Generation Internet Architectures
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...
Alencar de Melo Jr., Juan Manuel Adán Coell...
ICPR
2004
IEEE
16 years 23 days ago
Skin Detection: A Bayesian Network Approach
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...
Ira Cohen, Nicu Sebe, Theo Gevers, Thomas S. Huang
JAIR
2010
145views more  JAIR 2010»
14 years 10 months ago
Planning with Noisy Probabilistic Relational Rules
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...
Tobias Lang, Marc Toussaint
AI
2002
Springer
14 years 11 months ago
Learning Bayesian networks from data: An information-theory based approach
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...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...