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» Ranking and Scoring Using Empirical Risk Minimization
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EOR
2007
90views more  EOR 2007»
14 years 9 months ago
Structural models in consumer credit
We propose a structural credit risk model for consumer lending using option theory and the concept of the value of the consumer’s reputation. Using Brazilian empirical data and ...
Fabio Wendling Muniz de Andrade, Lyn C. Thomas
SIGIR
2002
ACM
14 years 9 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai
JMLR
2010
161views more  JMLR 2010»
14 years 4 months ago
Empirical Bernstein Boosting
Concentration inequalities that incorporate variance information (such as Bernstein's or Bennett's inequality) are often significantly tighter than counterparts (such as...
Pannagadatta K. Shivaswamy, Tony Jebara
ICML
2004
IEEE
15 years 10 months ago
Decentralized detection and classification using kernel methods
We consider the problem of decentralized detection under constraints on the number of bits that can be transmitted by each sensor. In contrast to most previous work, in which the ...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
CIKM
2009
Springer
15 years 4 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang