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» Applying Monte Carlo Techniques to Language Identification
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ICSM
1998
IEEE
13 years 8 months ago
Identification of Data Cohesive Subsystems Using Data Mining Techniques
The activity of reengineering and maintaining large legacy systems involves the use of design recovery es to produce abstractions that facilitate the understanding of the system. ...
Carlos Montes de Oca, Doris L. Carver
LSSC
2001
Springer
13 years 9 months ago
A Quasi-Monte Carlo Method for Integration with Improved Convergence
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska
WSCG
2000
132views more  WSCG 2000»
13 years 5 months ago
Adaptive Filtering for Progressive Monte Carlo Image Rendering
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to reduce noise. In this paper we present an algorithm based on density estimation t...
Frank Suykens, Yves D. Willems
ICCS
2001
Springer
13 years 9 months ago
Parallel High-Dimensional Integration: Quasi-Monte Carlo versus Adaptive Cubature Rules
Abstract Parallel algorithms for the approximation of a multi-dimensional integral over an hyper-rectangular region are discussed. Algorithms based on quasi-Monte Carlo techniques ...
Rudolf Schürer
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
14 years 1 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava