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» Boosting products of base classifiers
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ICML
2006
IEEE
14 years 5 months ago
How boosting the margin can also boost classifier complexity
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
Lev Reyzin, Robert E. Schapire
CVPR
2006
IEEE
14 years 6 months ago
Image-Based Multiclass Boosting and Echocardiographic View Classification
We tackle the problem of automatically classifying cardiac view for an echocardiographic sequence as a multiclass object detection. As a solution, we present an imagebased multicl...
Shaohua Kevin Zhou, J. H. Park, Bogdan Georgescu, ...
IJCAI
2003
13 years 5 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
NIPS
2004
13 years 5 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
MCS
2007
Springer
13 years 10 months ago
Boosting Lite - Handling Larger Datasets and Slower Base Classifiers
Lawrence O. Hall, Robert E. Banfield, Kevin W. Bow...