42 search results - page 3 / 9 » Cost-sensitive learning with conditional Markov networks |
JMLR
2010
13 years 2 days ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
JMLR
2008
13 years 5 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...
CIKM
2009
Springer
13 years 12 months ago
2009
Springer
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...