71 search results - page 9 / 15 » A Causal Bayesian Network View of Reinforcement Learning |
JMLR
2006
14 years 9 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
108
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JAIR
2002
14 years 9 months ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
107
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JMLR
2010
14 years 4 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
IPPS
2006
IEEE
15 years 3 months ago
2006
IEEE
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
UAI
2007
14 years 10 months ago
2007
The next development in building Bayesian networks will most likely entail constructing multipurpose models that can be employed for varying tasks and by different types of user. ...