297 search results - page 3 / 60 » Adaptive Importance Sampling for Estimation in Structured Do... |
ICASSP
2008
IEEE
14 years 22 days ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
AAAI
2012
11 years 8 months ago
2012
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
JMLR
2010
13 years 1 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
IJAR
2008
13 years 6 months ago
2008
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
ICDE
2002
IEEE
14 years 7 months ago
2002
IEEE
The ability to provide accurate and efficient result estimations of user queries is very important for the query optimizer in database systems. In this paper, we show that the tra...