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» Optimization of Convex Risk Functions
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JMLR
2010
105views more  JMLR 2010»
13 years 5 months ago
Classification Methods with Reject Option Based on Convex Risk Minimization
In this paper, we investigate the problem of binary classification with a reject option in which one can withhold the decision of classifying an observation at a cost lower than t...
Ming Yuan, Marten H. Wegkamp
NIPS
2007
14 years 8 days ago
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
We develop and analyze an algorithm for nonparametric estimation of divergence functionals and the density ratio of two probability distributions. Our method is based on a variati...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
ACL
2006
14 years 8 days ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
14 years 5 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
14 years 3 months ago
Risk sensitive robust support vector machines
— We propose a new family of classification algorithms in the spirit of support vector machines, that builds in non-conservative protection to noise and controls overfitting. O...
Huan Xu, Constantine Caramanis, Shie Mannor, Sungh...