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» Bayesian inference in estimation of distribution algorithms
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SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
15 years 5 months ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...
SIAMIS
2011
14 years 6 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
AI
2010
Springer
14 years 11 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
CSDA
2010
94views more  CSDA 2010»
14 years 11 months ago
Implementing Bayesian predictive procedures: The K-prime and K-square distributions
The implementation of Bayesian predictive procedures under standard normal models is considered. Two distributions are of particular interest, the K-prime and Ksquare distribution...
Jacques Poitevineau, Bruno Lecoutre
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 5 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto