110 search results - page 5 / 22 » Boosting a Weak Learning Algorithm by Majority |
HIS
2004
13 years 8 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...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
This is a survey of some theoretical results on boosting obtained from an analogous treatment of some regression and classi cation boosting algorithms. Some related papers include...
ICS
2010
Tsinghua U.
14 years 4 months ago
2010
Tsinghua U.
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
ECML
2004
Springer
14 years 24 days ago
2004
Springer
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A cost-sensitive extension of boosting, denoted as asymmetric boosting, is presented. Unlike previous proposals, the new algorithm is derived from sound decision-theoretic princip...