259 search results - page 4 / 52 » A Hybrid Convergent Method for Learning Probabilistic Networ... |
AUSAI
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
STOC
2006
ACM
14 years 7 months ago
2006
ACM
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...
IFM
2010
Springer
2010
Springer
Satisfaction Meets Expectations - Computing Expected Values of Probabilistic Hybrid Systems with SMT
13 years 6 months ago
Stochastic satisfiability modulo theories (SSMT), which is an extension of satisfiability modulo theories with randomized quantification, has successfully been used as a symboli...
UAI
2003
13 years 9 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...