4 search results - page 1 / 1 » The Role of Combining Rules in Bagging and Boosting |
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
MCS
2000
Springer
13 years 8 months ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
JMLR
2002
13 years 4 months ago
2002
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...