321 search results - page 45 / 65 » Learning Bayesian Networks with Local Structure |
111
click to vote
FLAIRS
2003
15 years 3 months ago
2003
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
146
click to vote
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
120
click to vote
INFOCOM
1997
IEEE
15 years 6 months ago
1997
IEEE
The increasing role of communication networks in today’s society results in a demand for higher levels of network availability and reliability. At the same time, fault managemen...
101
Voted
UAI
2001
15 years 3 months ago
2001
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
130
click to vote
JAIR
2008
15 years 1 months ago
2008
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...