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ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sh...