5860 search results - page 399 / 1172 » Learning and Domain Adaptation |
283
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GECCO
2007
Springer
16 years 28 days ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
170
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CEC
2005
IEEE
16 years 12 days ago
2005
IEEE
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...
183
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IJCAI
2001
15 years 8 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
173
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UAI
1993
15 years 8 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 ...
185
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ETS
2006
IEEE
15 years 6 months ago
2006
IEEE
Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long ...