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FLAIRS
2004
15 years 8 months ago
Hidden Layer Training via Hessian Matrix Information
The output weight optimization-hidden weight optimization (OWO-HWO) algorithm for training the multilayer perceptron alternately updates the output weights and the hidden weights....
Changhua Yu, Michael T. Manry, Jiang Li
NAACL
2004
15 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
IJCAI
2003
15 years 8 months ago
Local-Effect Games
We present a new class of games, local-effect games (LEGs), which exploit structure in a different way from other compact game representations studied in AI. We show both theoreti...
Kevin Leyton-Brown, Moshe Tennenholtz
ICASSP
2010
IEEE
15 years 7 months ago
A weighted discriminative approach for image denoising with overcomplete representations
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
Amir Adler, Yacov Hel-Or, Michael Elad
CORR
2008
Springer
131views Education» more  CORR 2008»
15 years 6 months ago
Optimizing polynomials for floating-point implementation
The floating-point implementation of a function often reduces to a polynomial approximation on an interval. Remez algorithm provides the polynomial closest to the function, but th...
Florent de Dinechin, Christoph Quirin Lauter