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» Randomness, Stochasticity and Approximations
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AI
2006
Springer
13 years 11 months ago
On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT
Stochastic local search (SLS) methods are underlying some of the best-performing algorithms for certain types of SAT instances, both from an empirical as well as from a theoretical...
Dave A. D. Tompkins, Holger H. Hoos
CEC
2003
IEEE
14 years 1 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
KES
2007
Springer
14 years 1 months ago
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation
This paper extends the use of stochastic watershed, recently introduced by Angulo and Jeulin [1], to unsupervised segmentation of multispectral images. Several probability density ...
Guillaume Noyel, Jesús Angulo, Dominique Je...
STACS
2005
Springer
14 years 1 months ago
Kolmogorov-Loveland Randomness and Stochasticity
An infinite binary sequence X is Kolmogorov-Loveland (or KL) random if there is no computable non-monotonic betting strategy that succeeds on X in the sense of having an unbounde...
Wolfgang Merkle, Joseph S. Miller, André Ni...
SIAMJO
2008
105views more  SIAMJO 2008»
13 years 7 months ago
On Stability of Multistage Stochastic Programs
We study the quantitative stability of linear multistage stochastic programs under perturbations of the underlying stochastic processes. It is shown that the optimal values behave...
Christian Küchler