168 search results - page 3 / 34 » Optimism in Reinforcement Learning Based on Kullback-Leibler... |
TIT
2011
13 years 13 days ago
2011
—For the universal hypothesis testing problem, where the goal is to decide between the known null hypothesis distribution and some other unknown distribution, Hoeffding proposed ...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
INFOCOM
2009
IEEE
14 years 6 days ago
2009
IEEE
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
PE
2010
Springer
13 years 4 months ago
2010
Springer
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...