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» Selectivity Estimation using Probabilistic Models
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INFORMATICALT
2010
169views more  INFORMATICALT 2010»
14 years 10 months ago
Parameters Estimation in Modelling of Gas-Gap in RBMK Type Reactor Using Bayesian Approach
Abstract. This study presents developed algorithm for assessment and updating estimates of parameters in the mathematical models of non-stationary processes (for instance, system a...
Inga Zutautaite-Seputiene, Juozas Augutis, Laimuti...
IDA
2009
Springer
15 years 6 months ago
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelih...
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Mak...
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 5 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi
ICASSP
2011
IEEE
14 years 3 months ago
Phoneme selective speech enhancement using the generalized parametric spectral subtraction estimator
In this study, the generalized parametric spectral subtraction estimator is employed in the context of a ROVER speech enhancement framework to develop a robust phoneme class selec...
Amit Das, John H. L. Hansen
EMNLP
2004
15 years 1 months ago
Bilingual Parsing with Factored Estimation: Using English to Parse Korean
We describe how simple, commonly understood statistical models, such as statistical dependency parsers, probabilistic context-free grammars, and word-to-word translation models, c...
David A. Smith, Noah A. Smith