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ACL
2012
12 years 14 days 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...
DCC
2009
IEEE
14 years 10 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...
CORR
2010
Springer
13 years 10 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...
SAC
2005
ACM
14 years 3 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...
RTCSA
1999
IEEE
14 years 2 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...