148 search results - page 14 / 30 » When Semi-supervised Learning Meets Ensemble Learning |
63
Voted
ACL
2006
14 years 11 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
ARTMED
2002
14 years 9 months ago
2002
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
71
Voted
ICTAI
2009
IEEE
15 years 4 months ago
2009
IEEE
This article addresses collaborative learning in a multiagent system: each agent revises incrementally its beliefs B (a concept representation) to keep it consistent with the whol...
NN
2008
Springer
14 years 9 months ago
2008
Springer
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
70
Voted
CIKM
2009
Springer
15 years 1 months ago
2009
Springer
The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performanc...