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» Ensembles of Fuzzy Classifiers
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FUZZIEEE
2007
IEEE
13 years 11 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
JBI
2008
119views Bioinformatics» more  JBI 2008»
13 years 7 months ago
Decision tool for the early diagnosis of trauma patient hypovolemia
We present a classifier for use as a decision assist tool to identify a hypovolemic state in trauma patients during helicopter transport to a hospital, when reliable acquisition o...
Liangyou Chen, Thomas M. McKenna, Andrew T. Reisne...
MCS
2005
Springer
14 years 29 days ago
Using an Ensemble of Classifiers to Audit a Production Classifier
After deploying a classifier in production it is essential to support its lifecycle. This paper describes the application of an ensemble of classifiers to support two stages of the...
Piero P. Bonissone, Neil Eklund, Kai Goebel
MCS
2000
Springer
13 years 11 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 9 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard