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ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
ML
2007
ACM
13 years 7 months ago
2007
ACM
Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gain...
ACMSE
2010
ACM
13 years 2 months ago
2010
ACM
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
NIPS
2008
13 years 9 months ago
2008
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...