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JMLR
2012
8 years 6 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
PE
1998
Springer
158views Optimization» more  PE 1998»
10 years 3 months ago
Asymptotic Approximations and Bottleneck Analysis in Product Form Queueing Networks with Large Populations
Asymptotic approximations are constructed for the performance measures of product form queueing networks consisting of single server, fixed rate nodes with large populations. The...
Charles Knessl, Charles Tier
WSC
2007
10 years 6 months ago
Path-sampling for state-dependent importance sampling
State-dependent importance sampling (SDIS) has proved to be particularly useful in simulation (specially in rare event analysis of stochastic systems). One approach for designing ...
Jose H. Blanchet, Jingchen Liu
ECAI
2000
Springer
10 years 7 months ago
Efficient Asymptotic Approximation in Temporal Difference Learning
Abstract. TD(
Frédérick Garcia, Florent Serre
books