564 search results - page 38 / 113 » Approximation algorithms for restricted Bayesian network str... |
89
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FLAIRS
2001
15 years 1 months ago
2001
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
94
Voted
UAI
2004
15 years 1 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
125
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HYBRID
2000
Springer
15 years 4 months ago
2000
Springer
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
156
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AAAI
2008
15 years 2 months ago
2008
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
133
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DIALM
2005
ACM
15 years 2 months ago
2005
ACM
Reducing interference is one of the main challenges in wireless communication, and particularly in ad hoc networks. The amount of interference experienced by a node v corresponds ...