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» Ensembles of biased classifiers
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JBI
2008
119views Bioinformatics» more  JBI 2008»
13 years 10 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 4 months 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
14 years 2 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
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 11 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
14 years 9 days 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