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» Robust ranking models via risk-sensitive optimization
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CGF
2005
170views more  CGF 2005»
15 years 1 months ago
Structure Recovery via Hybrid Variational Surface Approximation
Aiming at robust surface structure recovery, we extend the powerful optimization technique of variational shape approximation by allowing for several different primitives to repre...
Jianhua Wu, Leif Kobbelt
98
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CIKM
2008
Springer
15 years 3 months ago
Suppressing outliers in pairwise preference ranking
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
Vitor R. Carvalho, Jonathan L. Elsas, William W. C...
EOR
2008
99views more  EOR 2008»
15 years 1 months ago
Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
We present a new method, called UTAGMS , for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. ...
Salvatore Greco, Vincent Mousseau, Roman Slowinski
WSC
2001
15 years 3 months ago
On the MSE robustness of batching estimators
Variance is a classical measure of a point estimator's sampling error. In steady-state simulation experiments, many estimators of this variance--or its square root, the stand...
Yingchieh Yeh, Bruce W. Schmeiser
110
Voted
WSC
1997
15 years 3 months ago
New Development of Optimal Computing Budget Allocation for Discrete Event Simulation
This paper deals with ranking and selection problem via simulation. We present an optimal computing budget allocation technique which can select the best of k simulated designs. T...
Hsiao-Chang Chen, Chun-Hung Chen, Liyi Dai, Enver ...