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» Learning to Select a Ranking Function
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NIPS
2004
13 years 9 months ago
A Large Deviation Bound for the Area Under the ROC Curve
The area under the ROC curve (AUC) has been advocated as an evaluation criterion for the bipartite ranking problem. We study large deviation properties of the AUC; in particular, ...
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan...
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 5 months ago
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms
The interplay between the mutation operator and the selection mechanism plays a fundamental role in the behaviour of evolutionary algorithms (EAs). However, this interplay is stil...
Per Kristian Lehre, Xin Yao
DIS
2006
Springer
13 years 11 months ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
ECIR
2004
Springer
13 years 9 months ago
Combining CORI and the Decision-Theoretic Approach for Advanced Resource Selection
In this paper we combine two existing resource selection approaches, CORI and the decision-theoretic framework (DTF). The state-of-the-art system CORI belongs to the large group of...
Henrik Nottelmann, Norbert Fuhr
FCSC
2007
159views more  FCSC 2007»
13 years 7 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...