228 search results - page 3 / 46 » Ensemble Learning Based on Multi-Task Class Labels |
ICDM
2010
IEEE
13 years 4 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...
IJSI
2008
13 years 6 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...
PCM
2007
Springer
14 years 12 days ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
Recent research has shown that the provisional count of votes of an ensemble of classifiers can be used to estimate the probability that the final ensemble prediction coincides w...
TMI
2010
13 years 1 months ago
2010
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...