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» Boosting the Area under the ROC Curve
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NIPS
2003
14 years 11 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
CLEF
2011
Springer
13 years 9 months ago
Detecting Wikipedia Vandalism using Machine Learning - Notebook for PAN at CLEF 2011
Wikipedia vandalism identification is a very complex issue, which is now mostly solved manually by volunteers. This paper presents the main components of a system built by our grou...
Cristian-Alexandru Dragusanu, Marina Cufliuc, Adri...
86
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ICMCS
2010
IEEE
212views Multimedia» more  ICMCS 2010»
14 years 10 months ago
Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang
BMCBI
2010
150views more  BMCBI 2010»
14 years 9 months ago
AMS 3.0: prediction of post-translational modifications
Background: We present here the recent update of AMS algorithm for identification of post-translational modification (PTM) sites in proteins based only on sequence information, us...
Subhadip Basu, Dariusz Plewczynski
ICDCSW
2006
IEEE
15 years 3 months ago
Dealing with Class Skew in Context Recognition
As research in context recognition moves towards more maturity and real life applications, appropriate and reliable performance metrics gain importance. This paper focuses on the ...
Mathias Stäger, Paul Lukowicz, Gerhard Tr&oum...