2103 search results - page 116 / 421 » Approximate Learning of Dynamic Models |
155
click to vote
ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
125
click to vote
CIMCA
2005
IEEE
15 years 10 months ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
147
click to vote
PLDI
2010
ACM
15 years 10 months ago
2010
ACM
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
122
click to vote
ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
175
click to vote
UAI
1998
15 years 6 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...