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» Vicinal Risk Minimization
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NAACL
2004
13 years 8 months ago
Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functio...
Shankar Kumar, William J. Byrne
TSP
2008
97views more  TSP 2008»
13 years 7 months ago
Risk-Sensitive Particle Filters for Mitigating Sample Impoverishment
Risk-sensitive filters (RSF) put a penalty to higher-order moments of the estimation error compared to conventional filters as the Kalman filter minimizing the mean square error. ...
Umut Orguner, Fredrik Gustafsson
ICML
2009
IEEE
14 years 8 months ago
Group lasso with overlap and graph lasso
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...
Laurent Jacob, Guillaume Obozinski, Jean-Philippe ...
ICASSP
2010
IEEE
13 years 7 months ago
Empirical quantization for sparse sampling systems
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...
Michael A. Lexa
NETWORK
2008
151views more  NETWORK 2008»
13 years 7 months ago
Minimizing information leakage in the DNS
The Domain Name System (DNS) is the global lookup service for network resources. To protect DNS information, the DNS Security Extensions (DNSSEC) have been developed and deployed ...
Scott Rose, Anastase Nakassis