1058 search results - page 30 / 212 » Inferring Knowledge from a Large Semantic Network |
131
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ESOP
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
102
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BIOCOMP
2006
15 years 1 months ago
2006
Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...
102
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LISA
2007
15 years 2 months ago
2007
Packet filtering firewall is one of the most important mechanisms used by corporations to enforce their security policy. Recent years have seen a lot of research in the area of ...
IJAR
2000
14 years 11 months ago
2000
Multiply sectioned Bayesian networks (MSBNs) provide a coherent and flexible formalism for representing uncertain knowledge in large domains. Global consistency among subnets in a...
122
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COLING
2000
15 years 1 months ago
2000
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...