971 search results - page 9 / 195 » Mining Several Data Bases with an Ensemble of Classifiers |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
ASIAMS
2008
IEEE
14 years 2 months ago
2008
IEEE
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...