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199
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
171
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
The proliferation of hypertext and the popularity of Kleinberg's HITS algorithm have brought about an increased interest in link analysis. While HITS and its older relatives ...
173
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STOC
2003
ACM
16 years 7 months ago
2003
ACM
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
180
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FUZZIEEE
2007
IEEE
16 years 1 months 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...
175
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ECML
2007
Springer
16 years 25 days ago
2007
Springer
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...