1863 search results - page 206 / 373 » Multiagent learning using a variable learning rate |
177
Voted
PKDD
2009
Springer
16 years 26 days ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
193
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JAIR
1998
15 years 6 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
159
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NIPS
2007
15 years 7 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
153
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ATAL
2006
Springer
15 years 10 months ago
2006
Springer
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...
144
Voted
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We develop a cyclical blockwise coordinate descent algorithm for the multi-task Lasso that efficiently solves problems with thousands of features and tasks. The main result shows ...