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TKDE
2010
168views more  TKDE 2010»
14 years 7 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
ICASSP
2011
IEEE
14 years 1 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ICASSP
2011
IEEE
14 years 1 months ago
A novel decision function and the associated decision-feedback learning for speech translation
In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based o...
Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero
COLT
1999
Springer
15 years 1 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
COLT
1997
Springer
15 years 1 months ago
Algorithmic Stability and Sanity-Check Bounds for Leave-one-Out Cross-Validation
: In this paper we prove sanity-check bounds for the error of the leave-one-out cross-validation estimate of the generalization error: that is, bounds showing that the worst-case e...
Michael J. Kearns, Dana Ron