393 search results - page 12 / 79 » On the Convergence of Boosting Procedures |
HIS
2004
13 years 10 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
ML
2002
ACM
13 years 8 months ago
2002
ACM
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
PAMI
2011
13 years 3 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
SIAMNUM
2010
13 years 3 months ago
2010
In the solution of Fluid-Structure Interaction problems, partitioned procedures are modular algorithms that involve separate fluid and structure solvers, that interact, in an itera...
GLOBECOM
2010
IEEE
13 years 6 months ago
2010
IEEE
1 Shannon's channel capacity specifies the upper bound on the amount of bits per channel use. In this paper, we explicitly demonstrate that twin-component turbo codes suffer f...