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» Evolutionary Computation for Modeling and Optimization
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JMLR
2010
129views more  JMLR 2010»
15 years 1 months ago
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
Jimmy Olsson, Jonas Ströjby
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
16 years 9 days ago
Harmony search for structural design
Various algorithms have been developed and applied to structural optimization, in which cross-sectional areas of structure members are assumed to be continuous. In most cases of p...
Zong Woo Geem, Kang Seok Lee, Chung-Li Tseng
CCR
2004
157views more  CCR 2004»
15 years 6 months ago
Designing BGP-based outbound traffic engineering techniques for stub ASes
Today, most multi-connected autonomous systems (AS) need to control the flow of their interdomain traffic for both performance and economical reasons. This is usually done by manu...
Steve Uhlig, Olivier Bonaventure
CVPR
2007
IEEE
16 years 8 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
ICCAD
1997
IEEE
137views Hardware» more  ICCAD 1997»
15 years 10 months ago
Optimization techniques for high-performance digital circuits
The relentless push for high performance in custom digital circuits has led to renewed emphasis on circuit optimization or tuning. The parameters of the optimization are typically...
Chandramouli Visweswariah