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137
Voted
ACL
2012
13 years 6 months ago
2012
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
113
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DCC
2009
IEEE
16 years 4 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
155
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
125
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SAC
2005
ACM
15 years 9 months ago
2005
ACM
This paper presents an efficient technique for placement and routing of sensors/actuators and processing units in a grid network. Our system requires an extremely high level of ro...
129
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RTCSA
1999
IEEE
15 years 8 months ago
1999
IEEE
In this paper; we describe optimal algorithmsfor incorporating error recovery in the imprecise computation model. In that model eack task compriser a mandatory and an optional par...