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NIPS
2004
15 years 7 months ago
Confidence Intervals for the Area Under the ROC Curve
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
Corinna Cortes, Mehryar Mohri
HICSS
2011
IEEE
208views Biometrics» more  HICSS 2011»
14 years 9 months ago
An Experimental Study of Financial Portfolio Selection with Visual Analytics for Decision Support
We investigate the decision process as applied to the practical task of choosing a financial portfolio. We developed PortfolioCompare, an interactive visual analytic decision sup...
Anya Savikhin, Hon Cheong Lam, Brian D. Fisher, Da...
ICRA
2008
IEEE
133views Robotics» more  ICRA 2008»
16 years 4 days ago
Object separation using active methods and multi-view representations
— Daily life objects reveal natural similarities, which cannot be resolved with the perception of a single view. In this paper, we present an approach for object separation using...
Kai Welke, Tamim Asfour, Rüdiger Dillmann
AIRS
2010
Springer
15 years 3 months ago
Learning to Rank with Supplementary Data
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
Wenkui Ding, Tao Qin, Xu-Dong Zhang
ROCAI
2004
Springer
15 years 11 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer