410 search results - page 14 / 82 » Ensembles of biased classifiers |
83
Voted
BMCBI
2006
14 years 11 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
The advent of real-time fMRI pattern classification opens many avenues for interactive self-regulation where the brain's response is better modelled by multivariate, rather t...
72
Voted
ICPR
2008
IEEE
16 years 8 days ago
2008
IEEE
Ensemble of Classifiers (EoC) has been shown effective in improving the performance of single classifiers by combining their outputs. By using diverse data subsets to train classi...
ECAI
2008
Springer
15 years 26 days ago
2008
Springer
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
67
Voted
ICONIP
2009
14 years 8 months ago
2009
: In this paper, we investigate the impact of the non-numerical information on exchange rate changes and that of ensemble multiple classifiers on forecasting exchange rate between ...