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CEC
2003
IEEE
14 years 21 days 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
ISIPTA
2003
IEEE
14 years 20 days ago
Subjective Probability and Lower and Upper Prevision: A New Understanding
This article introduces a new way of understanding subjective probability and its generalization to lower and upper prevision. Instead of asking whether a person is willing to pay...
Glenn Shafer, Peter R. Gillett, Richard B. Scherl
PAPM
2001
Springer
107views Mathematics» more  PAPM 2001»
13 years 12 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 ...
CP
1999
Springer
13 years 11 months ago
Rewriting Numeric Constraint Satisfaction Problems for Consistency Algorithms
Reformulating constraint satisfaction problems (CSPs) in lower arity is a common procedure when computing consistency. Lower arity CSPs are simpler to treat than high arity CSPs. ...
Claudio Lottaz
ISIPTA
1999
IEEE
107views Mathematics» more  ISIPTA 1999»
13 years 11 months ago
Imprecise and Indeterminate Probabilities
Bayesian advocates of expected utility maximization use sets of probability distributions to represent very different ideas. Strict Bayesians insist that probability judgment is n...
Isaac Levi