53 search results - page 10 / 11 » Expectation Propagation for approximate Bayesian inference |
AAAI
1998
13 years 6 months ago
1998
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
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...
ALT
2004
Springer
14 years 1 months ago
2004
Springer
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
WSC
2007
13 years 7 months ago
2007
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...