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» Learning Dynamic Bayesian Networks
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CSDA
2006
94views more  CSDA 2006»
15 years 2 months ago
Signal extraction for simulated games with a large number of players
A signal extraction problem in simulated games is studied. A modelling technique is proposed for deriving beliefs for players in simulated games. Since standard Bayesian games pro...
Aki Lehtinen
143
Voted
JMLR
2010
140views more  JMLR 2010»
14 years 9 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
SEMWEB
2005
Springer
15 years 7 months ago
A Bayesian Network Approach to Ontology Mapping
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
Rong Pan, Zhongli Ding, Yang Yu, Yun Peng
VLSID
2002
IEEE
127views VLSI» more  VLSID 2002»
16 years 2 months ago
Switching Activity Estimation of Large Circuits using Multiple Bayesian Networks
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
Sanjukta Bhanja, N. Ranganathan
JMLR
2010
143views more  JMLR 2010»
14 years 9 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov