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» Ranking and Scoring Using Empirical Risk Minimization
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EOR
2007
108views more  EOR 2007»
14 years 9 months ago
Measuring retail company performance using credit scoring techniques
This paper proposes a theoretical framework for predicting financial distress based on Hunt’s (2000) Resource-Advantage Theory of Competition. The study focuses on the US retail...
Yu-Chiang Hu, Jake Ansell
ICASSP
2011
IEEE
14 years 1 months ago
Improved thresholds for rank minimization
—Nuclear norm minimization (NNM) has recently gained attention for its use in rank minimization problems. In this paper, we define weak, sectional and strong recovery for NNM to...
Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
ICML
2010
IEEE
14 years 10 months ago
Active Risk Estimation
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
Christoph Sawade, Niels Landwehr, Steffen Bickel, ...
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 1 months ago
Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance
We present the notion of Ranking for evaluation of two-class classifiers. Ranking is based on using the ordering information contained in the output of a scoring model, rather tha...
Saharon Rosset