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IJCAI
2003
13 years 6 months ago
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
Charles X. Ling, Jin Huang, Harry Zhang
BMCBI
2010
126views more  BMCBI 2010»
13 years 4 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
NIPS
2003
13 years 6 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
ECCV
2006
Springer
14 years 6 months ago
Spatio-temporal Embedding for Statistical Face Recognition from Video
Abstract. This paper addresses the problem of how to learn an appropriate feature representation from video to benefit video-based face recognition. By simultaneously exploiting th...
Wei Liu, Zhifeng Li, Xiaoou Tang
CSB
2003
IEEE
13 years 9 months ago
Fast and Sensitive Probe Selection for DNA Chips Using Jumps in Matching Statistics
The design of large scale DNA microarrays is a challenging problem. So far, probe selection algorithms must trade the ability to cope with large scale problems for a loss of accur...
Sven Rahmann