116 search results - page 11 / 24 » Empirical Bernstein Boosting |
SIGSOFT
2010
ACM
13 years 7 months ago
2010
ACM
While many uses of mined software engineering data are automatic in nature, some techniques and studies either require, or can be improved, by manual methods. Unfortunately, manua...
CVPR
2003
IEEE
14 years 12 months ago
2003
IEEE
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
PR
2008
13 years 9 months ago
2008
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...