1323 search results - page 203 / 265 » Computing the median with uncertainty |
ISMB
1993
14 years 11 months ago
1993
Algorithmsbasedonprobability theorycanaddressissues of uncertainty directly throughtheir representational frameworkandtheir theoryfor data combination.In this paper, wediscuss the...
UAI
1993
14 years 11 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
UAI
1990
14 years 11 months ago
1990
The intelligent reformulation or restructuring of a belief network can greatly increase the efficiency of inference. However, time expended for reformulation is not available for ...
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AIIDE
2009
14 years 11 months ago
2009
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...