167 search results - page 27 / 34 » Statistical Relational Learning for Document Mining |
SIGSOFT
2009
ACM
15 years 10 months ago
2009
ACM
Many testing and analysis techniques use finite state models to validate and verify the quality of software systems. Since the specification of such models is complex and timecons...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
170
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ROCAI
2004
Springer
15 years 2 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
109
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PKDD
2010
Springer
14 years 8 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...