566 search results - page 65 / 114 » A Bayesian Approach to Semi-Supervised Learning |
134
Voted
ATAL
2010
Springer
15 years 3 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
128
Voted
JMLR
2010
14 years 9 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
125
Voted
IJCAI
2007
15 years 4 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
134
Voted
WWW
2009
ACM
16 years 3 months ago
2009
ACM
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
123
Voted
PERCOM
2004
ACM
16 years 2 months ago
2004
ACM
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...