57 search results - page 1 / 12 » Online Ensemble Learning: An Empirical Study |
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
WAIM
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Ensemble methods can achieve excellent performance relying on member classifiers’ accuracy and diversity. We conduct an empirical study of the relationship of ensemble...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning progress during a pool-based active learning sessi...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
KDD
1999
ACM
13 years 9 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...