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» An Improved Model Selection Heuristic for AUC
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ECML
2007
Springer
13 years 11 months ago
An Improved Model Selection Heuristic for AUC
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ram...
IJON
2010
148views more  IJON 2010»
13 years 3 months ago
Modeling radiation-induced lung injury risk with an ensemble of support vector machines
Radiation-induced lung injury, radiation pneumonitis (RP), is a potentially fatal side-effect of thoracic radiation therapy. In this work, using an ensemble of support vector mac...
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
FLAIRS
2008
13 years 7 months ago
Combining Naive Bayes and Decision Tables
We investigate a simple semi-naive Bayesian ranking method that combines naive Bayes with induction of decision tables. Naive Bayes and decision tables can both be trained efficie...
Mark Hall, Eibe Frank
CP
2004
Springer
13 years 10 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
13 years 8 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...