627 search results - page 24 / 126 » Kolmogorov-Loveland Randomness and Stochasticity |
WSC
1998
13 years 10 months ago
1998
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
EMO
2001
Springer
14 years 1 months ago
2001
Springer
Abstract The performance of stochastic optimisers can be assessed experimentally on given problems by performing multiple optimisation runs, and analysing the results. Since an opt...
SIAMJO
2002
13 years 8 months ago
2002
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
WAW
2009
Springer
14 years 3 months ago
2009
Springer
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
CPAIOR
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. This work presents methods for processing a constraint satisfaction problem (CSP) formulated by an expression-based language, before the CSP is presented to a stochastic ...