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» A Large Deviation Bound for the Area Under the ROC Curve
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SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
13 years 7 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 10 months ago
Toward comparison-based adaptive operator selection
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
Álvaro Fialho, Marc Schoenauer, Michè...
NIPS
2003
13 years 7 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
BIBM
2008
IEEE
113views Bioinformatics» more  BIBM 2008»
14 years 8 days ago
Towards Site-Based Protein Functional Annotations
Abstract—The exact relationship between protein active centers and protein functions is unclear even after decades of intensive study. To improve the functional prediction abilit...
Seak Fei Lei, Jun Huan
BMCBI
2007
99views more  BMCBI 2007»
13 years 5 months ago
Stratification bias in low signal microarray studies
Background: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that...
Brian J. Parker, Simon Günter, Justin Bedo