486 search results - page 89 / 98 » A Bayesian Framework for Reinforcement Learning |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
WWW
2010
ACM
14 years 2 months 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...
COGSCI
2008
13 years 7 months ago
2008
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we propose a sequential approach to hallucinate/synthesize high-resolution images of multiple facial expressions. We propose an idea of multi-resolution tensor for ...