6367 search results - page 28 / 1274 » From Statistics to Beliefs |
107
Voted
IDA
2003
Springer
15 years 7 months ago
2003
Springer
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
184
Voted
CSL
2012
Springer
13 years 9 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
103
Voted
IPMU
2010
Springer
15 years 11 days ago
2010
Springer
In this paper we extend a methodology for constructing a frame of discernment from belief functions for one problem, into a methodology for constructing multiple frames of discernm...
94
Voted
AAAI
2008
15 years 4 months ago
2008
Horn-to-Horn belief revision asks for the revision of a Horn knowledge base such that the revised knowledge base is also Horn. Horn knowledge bases are important whenever one is c...
110
Voted
ICML
1997
IEEE
16 years 2 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...