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ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
ALT
2006
Springer
14 years 5 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
MFCS
1995
Springer
13 years 11 months ago
1995
Springer
In AS , we de ned a notion of measure on the complexity class P in the spirit of the work of Lutz L92 that provides a notion of measure on complexity classes at least as large as...
CHI
2004
ACM
14 years 8 months ago
2004
ACM
Although engineering models of user behavior have enjoyed a rich history in HCI, they have yet to have a widespread impact due to the complexities of the modeling process. In this...