Results 351 to 360 of about 28,178,522 (404)
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Dynamics of Epidemiological Models
Acta Biotheoretica, 2010We study the SIS and SIRI epidemic models discussing different approaches to compute the thresholds that determine the appearance of an epidemic disease. The stochastic SIS model is a well known mathematical model, studied in several contexts. Here, we present recursively derivations of the dynamic equations for all the moments and we derive the ...
Pinto, Alberto +3 more
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2003
Dynamical systems can be modelled from different viewpoints. This chapter summarises the main notions. Each of the succeeding chapters uses one of these models for fault diagnosis and fault-tolerant control.
Mogens Blanke +3 more
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Dynamical systems can be modelled from different viewpoints. This chapter summarises the main notions. Each of the succeeding chapters uses one of these models for fault diagnosis and fault-tolerant control.
Mogens Blanke +3 more
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Communications in Nonlinear Science and Numerical Simulation, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gholam Reza Rokni Lamooki +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gholam Reza Rokni Lamooki +2 more
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Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2008
AbstractThis paper presents the development and application of a software tool for modeling knowledge to be used in knowledge-based systems or the Semantic Web. The inferential modeling technique, which is a technique for modeling the static and dynamic knowledge elements of a problem domain, provided the basis for the tool.
Robert Harrison, Christine W. Chan
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AbstractThis paper presents the development and application of a software tool for modeling knowledge to be used in knowledge-based systems or the Semantic Web. The inferential modeling technique, which is a technique for modeling the static and dynamic knowledge elements of a problem domain, provided the basis for the tool.
Robert Harrison, Christine W. Chan
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IEEE Signal Processing Magazine, 2010
A graphical model consists of I a graph G = (V,E) and a V set of properties that determine a family of V probability distributions. There are many different types of graphs and properties, each determining a family. It is common to be able to develop algorithms that work for all members of the family by considering only a graph and its properties. Thus,
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A graphical model consists of I a graph G = (V,E) and a V set of properties that determine a family of V probability distributions. There are many different types of graphs and properties, each determining a family. It is common to be able to develop algorithms that work for all members of the family by considering only a graph and its properties. Thus,
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Econometric Reviews, 2001
This paper introduces nonlinear dynamic factor models for various applications related to risk analysis. Traditional factor models represent the dynamics of processes driven by movements of latent variables, called the factors. Our approach extends this setup by introducing factors defined as random dynamic parameters and stochastic autocorrelated ...
Christian Gourieroux, Joanna Jasiak
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This paper introduces nonlinear dynamic factor models for various applications related to risk analysis. Traditional factor models represent the dynamics of processes driven by movements of latent variables, called the factors. Our approach extends this setup by introducing factors defined as random dynamic parameters and stochastic autocorrelated ...
Christian Gourieroux, Joanna Jasiak
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IEEE Computer Graphics and Applications, 1999
The tools described, permit including large numbers of complex dynamic models in a VRML world easily and efficiently while maintaining high frame rates. We describe three tools that together provide an environment for authoring cullable, dynamic, rigid-body objects in VRML and Java: a code transformation tool that exploits approximations to dynamical ...
Stephen Chenney +2 more
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The tools described, permit including large numbers of complex dynamic models in a VRML world easily and efficiently while maintaining high frame rates. We describe three tools that together provide an environment for authoring cullable, dynamic, rigid-body objects in VRML and Java: a code transformation tool that exploits approximations to dynamical ...
Stephen Chenney +2 more
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Modeling the dynamics of choice
Behavioural Processes, 2009A simple linear-operator model both describes and predicts the dynamics of choice that may underlie the matching relation. We measured inter-food choice within components of a schedule that presented seven different pairs of concurrent variable-interval schedules for 12 food deliveries each with no signals indicating which pair was in force.
William M, Baum, Michael, Davison
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Proceedings of the 17th Conference on Pattern Languages of Programs, 2010
In the Adaptive Object-Model (AOM) architectural style, user-defined domain entities and their relationships, attributes and behavior are described by externally stored metadata. AOM implementations reify the domain entities at runtime by interpreting the metadata.
Atzmon Hen-Tov +5 more
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In the Adaptive Object-Model (AOM) architectural style, user-defined domain entities and their relationships, attributes and behavior are described by externally stored metadata. AOM implementations reify the domain entities at runtime by interpreting the metadata.
Atzmon Hen-Tov +5 more
openaire +1 more source