564 search results - page 43 / 113 » Approximation algorithms for restricted Bayesian network str... |
108
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
103
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ALT
2004
Springer
15 years 9 months ago
2004
Springer
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
AAAI
1997
15 years 1 months ago
1997
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
98
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UAI
1998
15 years 1 months ago
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
110
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NIPS
2007
15 years 2 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...