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JSAI
2005
Springer
14 years 1 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
BMCBI
2010
185views more  BMCBI 2010»
13 years 2 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
BMCBI
2008
154views more  BMCBI 2008»
13 years 7 months ago
GeNESiS: gene network evolution simulation software
Background: There has been a lot of interest in recent years focusing on the modeling and simulation of Gene Regulatory Networks (GRNs). However, the evolutionary mechanisms that ...
Anton Kratz, Masaru Tomita, Arun Krishnan
WSC
2007
13 years 10 months ago
Representing and generating uncertainty effectively
Stochastic simulations involve at least some random inputs. This introductory tutorial is meant to call attention to the need to model and generate such inputs in ways that may no...
W. David Kelton
QEST
2007
IEEE
14 years 2 months ago
Cluster Grid based Response-time analysis module for the PIPE Tool
Generalized Stochastic Petri Nets (GSPNs) are a widely used high-level formalism used for modelling discrete-event systems. The Platform Independent Petri net Editor (PIPE) is an ...
Harini Kulatunga, Ashok Argent-Katwala, William J....