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ICML
2009
IEEE
14 years 8 months ago
PAC-Bayesian learning of linear classifiers
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
Alexandre Lacasse, François Laviolette, Mar...
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 6 months ago
Toward automated tissue retraction in robot-assisted surgery
—Robotic surgical assistants are enhancing physician performance, enabling physicians to perform more delicate and precise minimally invasive surgery. However, these devices are ...
Sachin Patil, Ron Alterovitz
CORR
2010
Springer
108views Education» more  CORR 2010»
13 years 7 months ago
Mining The Successful Binary Combinations: Methodology and A Simple Case Study
The importance of finding the characteristics leading to either a success or a failure is one of the driving forces of data mining. The various application areas of finding succes...
Yuval Cohen
EOR
2007
123views more  EOR 2007»
13 years 7 months ago
A stochastic model for risk management in global supply chain networks
With the increasing emphasis on supply chain vulnerabilities, effective mathematical tools for analyzing and understanding appropriate supply chain risk management are now attrac...
Mark Goh, Joseph Y. S. Lim, Fanwen Meng
ACL
2007
13 years 9 months ago
Minimum Bayes Risk Decoding for BLEU
We present a Minimum Bayes Risk (MBR) decoder for statistical machine translation. The approach aims to minimize the expected loss of translation errors with regard to the BLEU sc...
Nicola Ehling, Richard Zens, Hermann Ney