702 search results - page 73 / 141 » Learning Probabilistic Models of Relational Structure |
142
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PAMI
2011
14 years 7 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
103
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STOC
1993
ACM
15 years 4 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
107
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BMCBI
2006
15 years 19 days ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
112
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KCAP
2005
ACM
15 years 6 months ago
2005
ACM
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
104
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AI
2002
Springer
15 years 13 days ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...