31 search results - page 4 / 7 » Tractable learning of large Bayes net structures from sparse... |
KDD
1998
ACM
13 years 11 months ago
1998
ACM
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
COLT
2004
Springer
14 years 25 days ago
2004
Springer
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
LREC
2010
13 years 9 months ago
2010
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...