824 search results - page 75 / 165 » Learning probabilistic logic models from probabilistic examp... |
176
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UAI
1997
15 years 5 months ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
163
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BMCBI
2007
15 years 4 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
146
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EMNLP
2008
15 years 5 months ago
2008
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
138
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EUSFLAT
2009
15 years 1 months ago
2009
Abstract-- A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing ...
131
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AGI
2008
15 years 5 months ago
2008
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...