47 search results - page 4 / 10 » Learning Factorizations in Estimation of Distribution Algori... |
IPSN
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
WWW
2010
ACM
14 years 22 days ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
ICIC
2005
Springer
13 years 11 months ago
2005
Springer
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
ATAL
2005
Springer
13 years 11 months ago
2005
Springer
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
ALT
2008
Springer
14 years 2 months ago
2008
Springer
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...