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» Applying Monte Carlo Techniques to Language Identification
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CLIN
2001
13 years 5 months ago
Applying Monte Carlo Techniques to Language Identification
Two major stages stages in language identification systems can be identified: the language modeling stage, where the distinctive features of languages are determined and stored in...
Arjen Poutsma
AUTOMATICA
2010
122views more  AUTOMATICA 2010»
13 years 4 months ago
Bayesian system identification via Markov chain Monte Carlo techniques
The work here explores new numerical methods for supporting a Bayesian approach to parameter estimation of dynamic systems. This is primarily motivated by the goal of providing ac...
Brett Ninness, Soren J. Henriksen
ISQED
2007
IEEE
372views Hardware» more  ISQED 2007»
13 years 10 months ago
From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit
Problems in computational finance share many of the characteristics that challenge us in statistical circuit analysis: high dimensionality, profound nonlinearity, stringent accura...
Amith Singhee, Rob A. Rutenbar
ENTCS
2006
105views more  ENTCS 2006»
13 years 4 months ago
Monte Carlo Methods for Process Algebra
We review the recently developed technique of Monte Carlo model checking and show how it can be applied to the implementation problem for I/O Automata. We then consider some open ...
Radu Grosu, Scott A. Smolka
ICCS
2007
Springer
13 years 10 months ago
Complexity of Monte Carlo Algorithms for a Class of Integral Equations
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
Ivan Dimov, Rayna Georgieva