123 search results - page 15 / 25 » Bayesian Algorithms for Causal Data Mining |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Manual debugging is expensive. And the high cost has motivated extensive research on automated fault localization in both software engineering and data mining communities. Fault l...
ASC
2006
13 years 7 months ago
2006
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...