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» On the Error Parameter of Dispersers
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SERP
2003
15 years 7 months ago
Automatic Benchmarking and Optimization of Codes: An Experience with Numerical Kernels
Abstract New algorithms are constantly developed in search of better or faster results. Many variants of code are often tried while searching for the best solution. When the number...
José R. Herrero, Juan J. Navarro
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
15 years 6 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
DM
2002
105views more  DM 2002»
15 years 6 months ago
Research problems
This paper provides an overview of methods and systems developed for record linkage. Modern record linkage begins with the pioneering work of Newcombe and is especially based on t...
INTERSPEECH
2010
15 years 1 months ago
Canonical state models for automatic speech recognition
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
Mark J. F. Gales, Kai Yu
ICASSP
2011
IEEE
14 years 10 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien