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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 7 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
AAAI
2008
13 years 11 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
WEBI
2004
Springer
14 years 2 months ago
A Web-Based Intelligent Tutoring System for Computer Programming
Web Intelligence is a direction for scientific research that explores practical applications of Artificial Intelligence to the next generation of Web-empowered systems. In this ...
Cory J. Butz, Shan Hua, R. Brien Maguire
HICSS
2010
IEEE
167views Biometrics» more  HICSS 2010»
14 years 3 months ago
Bayesian Networks for the Assessment of the Effect of Urbanization on Stream Macroinvertebrates
It is generally acknowledged that macroinvertebrates are good indicators of water quality in streams, as a number of taxa are sensitive to pollution and integrate their response t...
Kenneth H. Reckhow
UM
2010
Springer
14 years 1 months ago
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media
In this paper, we focus on the challenge that users face in processing messages on the web posted in participatory media settings, such as blogs. It is desirable to recommend to us...
Aaditeshwar Seth, Jie Zhang, Robin Cohen