110 search results - page 2 / 22 » Boosting a Weak Learning Algorithm by Majority |
ML
2007
ACM
13 years 6 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
ICMLA
2010
13 years 5 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
ICPR
2010
IEEE
14 years 8 days ago
2010
IEEE
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...