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SEMCO
2007
IEEE
14 years 1 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
AAAI
1998
13 years 9 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
IJCGA
2006
91views more  IJCGA 2006»
13 years 7 months ago
The Tsp and the Sum of its Marginal Values
This paper introduces a new notion related to the traveling salesperson problem (TSP) -the notion of the TSP ratio. The TSP ratio of a TSP instance I is the sum of the marginal va...
Moshe Dror, Yusin Lee, James B. Orlin, Valentin Po...
ICASSP
2010
IEEE
13 years 7 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang