1489 search results - page 47 / 298 » Monotonicity in Bayesian Networks |
141
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CORR
2007
Springer
15 years 3 months ago
2007
Springer
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
125
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UAI
2003
15 years 4 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
97
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PSB
2008
15 years 4 months ago
2008
bstracts in the structure prior of a Bayesian network could improve the prediction of the prognosis in cancer. Our results show that prediction of the outcome with the text prior w...
107
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AAAI
2006
15 years 4 months ago
2006
We offer a complete characterization of the set of distributions that could be induced by local interventions on variables governed by a causal Bayesian network of unknown structu...
115
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FLAIRS
2000
15 years 4 months ago
2000
Multiply Sectioned Bayesian Networks (MSBN)provide a coherence framework for multi-agent distributed interpretation tasks. Duringthe construction or dynamicformation of an MSBN,au...