98 search results - page 1 / 20 » Propagation Algorithms for Variational Bayesian Learning |
NIPS
2000
13 years 6 months ago
2000
JMLR
2010
12 years 11 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
UAI
2004
13 years 6 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
UAI
2004
13 years 6 months ago
2004
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...