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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
TSMC
2008
89views more  TSMC 2008»
13 years 7 months ago
A Probabilistic Wavelet System for Stochastic and Incomplete Data-Based Modeling
A probabilistic wavelet system (PWS) is proposed to model the unknown dynamic system with stochastic and incomplete data. When compared with the traditional wavelet system, the PWS...
Zhi Liu, Han-Xiong Li, Yun Zhang
WSC
2007
13 years 10 months ago
Representation and simulation of stochastic petrinet models using xPNML
The paper presents an extensible Petri Net Markup Language (xPNML), which is an extended version of PNML. The xPNML format overcomes limitations associated with PNML structure for...
Hyunsoo Lee, Bikram Sharda, Amarnath Banerjee
VALUETOOLS
2006
ACM
162views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
Using UML state machines and petri nets for the quantitative investigation of ETCS
This paper proposes the modeling of technical systems and their behavior by means of Unified Modeling Language (UML) State Machines and the extending UML Profile for Schedulabil...
Jan Trowitzsch, Armin Zimmermann
CMSB
2009
Springer
13 years 11 months ago
On the Use of Stochastic Petri Nets in the Analysis of Signal Transduction Pathways for Angiogenesis Process
In this paper we consider the modeling of a selected portion of signal transduction events involved in the angiogenesis process. The detailed model of this process contains a large...
Lucia Napione, Daniele Manini, Francesca Cordero, ...