2569 search results - page 384 / 514 » Approximate Objects and Approximate Theories |
175
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UAI
2001
15 years 7 months ago
2001
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
203
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METMBS
2003
15 years 7 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
149
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AAAI
1998
15 years 7 months ago
1998
Weadvance a knowledge-based learning method that augments conventional generalization to permit concept acquisition in failure domains. These are domains in whichlearning must pro...
161
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ICONIP
1998
15 years 7 months ago
1998
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
177
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NIPS
1998
15 years 7 months ago
1998
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...