201 search results - page 18 / 41 » Variable Selection for Optimal Decision Making |
APNOMS
2006
Springer
14 years 11 days ago
2006
Springer
In this paper, we propose the localized adaptive QoS routing scheme using POMDP(partially observable Markov Decision Processes) and Exploration Bonus. In order to deal with POMDP p...
AAAI
2007
13 years 11 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
TKDE
2012
11 years 11 months ago
2012
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
SIAMCO
2011
13 years 3 months ago
2011
We consider Bayesian information collection, in which a measurement policy collects information to support a future decision. This framework includes ranking and selection, continu...
AAAI
2006
13 years 10 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...