502 search results - page 28 / 101 » Learning from General Label Constraints |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
ALT
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
CP
2000
Springer
14 years 11 days ago
2000
Springer
We are interested in the expressiveness of constraints represented by general first order formulae, with equality as unique relation symbol and function symbols taken from an infi...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...