4 search results - page 1 / 1 » Two Bagging Algorithms with Coupled Learners to Encourage Di... |
IDA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
IJSI
2008
13 years 4 months ago
2008
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
AAAI
2008
13 years 7 months ago
2008
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
CEAS
2006
Springer
13 years 8 months ago
2006
Springer
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...