1139 search results - page 8 / 228 » Boosting strategy for classification |
BMVC
2010
13 years 5 months ago
2010
We propose a new boosting algorithm for sequence classification, in particular one that enables early classification of multiple classes. In many practical problems, we would like...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
APIN
2010
13 years 7 months ago
2010
Abstract. This paper introduces a robust variant of AdaBoost, cwAdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with da...
HIS
2004
13 years 9 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...