2100 search results - page 142 / 420 » Learning to rank on graphs |
159
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
177
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FUZZIEEE
2007
IEEE
16 years 24 days ago
2007
IEEE
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
173
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ICALP
2004
Springer
15 years 12 months ago
2004
Springer
We consider the problem of learning a labeled graph from a given family of graphs on n vertices in a model where the only allowed operation is to query whether a set of vertices i...
170
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
190
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CLEF
2006
Springer
15 years 10 months ago
2006
Springer
This paper describes our participation in the GeoCLEF monolingual English task of the Cross Language Evaluation Forum 2006. The main objective of this study is to evaluate the retr...