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PAPM
2001
Springer
107views Mathematics» more  PAPM 2001»
15 years 8 months ago
MoDeST - A Modelling and Description Language for Stochastic Timed Systems
This paper presents a modelling language, called MoDeST, for describing the behaviour of discrete event systems. The language combines conventional programming constructs – such ...
Pedro R. D'Argenio, Holger Hermanns, Joost-Pieter ...
SBRN
2000
IEEE
15 years 8 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
3DPVT
2004
IEEE
136views Visualization» more  3DPVT 2004»
15 years 7 months ago
Efficient Model Creation of Large Structures based on Range Segmentation
This paper describes an efficient 3D modeling method from 3D range data-sets that is utilizing range data segmentation. Our algorithm starts with a set of unregistered 3D range sc...
Ioannis Stamos, Marius Leordeanu
DAGSTUHL
2006
15 years 5 months ago
How fast does the stationary distribution of the Markov chain modelling EAs concentrate on the homogeneous populations for small
One of the main difficulties faced when analyzing Markov chains modelling evolutionary algorithms is that their cardinality grows quite fast. A reasonable way to deal with this iss...
Boris Mitavskiy, Jonathan E. Rowe
IFM
2007
Springer
15 years 10 months ago
Qualitative Probabilistic Modelling in Event-B
Abstract. Event-B is a notation and method for discrete systems modelling by refinement. We introduce a small but very useful construction: qualitative probabilistic choice. It ex...
Stefan Hallerstede, Thai Son Hoang