4947 search results - page 246 / 990 » Learning Module Networks |
130
Voted
UAI
2003
15 years 4 months ago
2003
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
160
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UAI
1998
15 years 4 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
157
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SOCIALCOM
2010
14 years 10 months ago
2010
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
126
Voted
SEMWEB
2004
Springer
15 years 8 months ago
2004
Springer
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...
142
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NIPS
2007
15 years 4 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...