38 search results - page 1 / 8 » Empirical comparisons of various voting methods in bagging |
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
APSEC
1995
IEEE
13 years 8 months ago
1995
IEEE
Thispaper presents the results of an experiment that compared error detection capability of voting, instrumentation,and Fagan inspection methods. Several experimentshave measured ...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
ICANN
2003
Springer
13 years 9 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
COMSIS
2006
13 years 4 months ago
2006
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...