983 search results - page 52 / 197 » A Better Update Policy |
ICC
2007
IEEE
14 years 3 months ago
2007
IEEE
— For most of wireless services with variable rate transmission, both average rate and rate oscillation are important performance metrics. One often needs to decide how much rate...
ROBOCUP
2007
Springer
14 years 2 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
WEBDB
2005
Springer
14 years 2 months ago
2005
Springer
The dynamics of the Web and the demand for new, active services are imposing new requirements on Web servers. One such new service is the processing of continuous queries whose ou...
ICML
2009
IEEE
14 years 3 months ago
2009
IEEE
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
TSP
2010
13 years 3 months ago
2010
Abstract--We derive a class of algorithms for independent component analysis (ICA) based on maximum likelihood (ML) estimation and perform stability analysis of natural gradient ML...