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PRL
2008
13 years 5 months ago
2008
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
COLT
2008
Springer
13 years 7 months ago
2008
Springer
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
EUROCOLT
1999
Springer
13 years 10 months ago
1999
Springer
