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ALT
2002
Springer
14 years 5 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
COLT
1999
Springer
14 years 26 days ago
Boosting as Entropy Projection
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
Jyrki Kivinen, Manfred K. Warmuth
CORR
2000
Springer
100views Education» more  CORR 2000»
13 years 8 months ago
Boosting Applied to Word Sense Disambiguation
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...
Gerard Escudero, Lluís Màrquez, Germ...
ICML
2007
IEEE
14 years 9 months ago
Asymmetric boosting
A cost-sensitive extension of boosting, denoted as asymmetric boosting, is presented. Unlike previous proposals, the new algorithm is derived from sound decision-theoretic princip...
Hamed Masnadi-Shirazi, Nuno Vasconcelos
ICML
2005
IEEE
14 years 9 months ago
Unifying the error-correcting and output-code AdaBoost within the margin framework
In this paper, we present a new interpretation of AdaBoost.ECC and AdaBoost.OC. We show that AdaBoost.ECC performs stage-wise functional gradient descent on a cost function, defin...
Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu