Results 1 to 10 of about 65,539 (306)
Overlapping Generations Model of General Equilibrium [PDF]
, 1987 The consumption loan model that Paul Samuelson introduced in 1958 to analyse the rate of interest, with or without the social contrivance of money, has developed into what is without doubt the most important and influential paradigm in neoclassical general equilibrium theory outside of the Arrow—Debreu economy.
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Generalized plaid models [PDF]
Neurocomputing, 2012 The problem of two-way clustering has attracted considerable attention in diverse research areas such as functional genomics, text mining, and market research, where people want to simultaneously cluster rows and columns of a data matrix. In this paper, we propose a family of generalized plaid models for two-way clustering, where the layer estimation ...
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Some of the next articles are maybe not open access.
Companion of the 18th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications - OOPSLA '03, 2003
The Generative Model Transformer (GMT) project is an Open Source initiative to build a Model Driven Architecure™ tool that allows fully customisable Platform Independent Models, Platform Description Models, Texture Mappings, and Refinement Transformations.
Jorn Bettin, Ghica van Emde Boas
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The Generative Model Transformer (GMT) project is an Open Source initiative to build a Model Driven Architecure™ tool that allows fully customisable Platform Independent Models, Platform Description Models, Texture Mappings, and Refinement Transformations.
Jorn Bettin, Ghica van Emde Boas
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1988
The new relation between programming and modelling is discussed. Some important developments on the field of modelling and simulation support systems and their connection with AI are pointed out. Modelling of generic objects and processes is an efficient tool for complexity reduction of models.
V. Wenzel, E. Matthaus, M. Flechsig
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The new relation between programming and modelling is discussed. Some important developments on the field of modelling and simulation support systems and their connection with AI are pointed out. Modelling of generic objects and processes is an efficient tool for complexity reduction of models.
V. Wenzel, E. Matthaus, M. Flechsig
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1995
Linguistic engineering presupposes lexical resources. For translation, it is highly desirable that a Machine Translation engine and human translators should have access to the same dictionary information. The present paper describes a multilingual dictionary model, which integrates information for use by both humans and a variety of NLP systems.
Daniel Bachut +12 more
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Linguistic engineering presupposes lexical resources. For translation, it is highly desirable that a Machine Translation engine and human translators should have access to the same dictionary information. The present paper describes a multilingual dictionary model, which integrates information for use by both humans and a variety of NLP systems.
Daniel Bachut +12 more
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General models and extensionality
Journal of Symbolic Logic, 1972It is well known that equality is definable in type theory. Thus, in the language of [2], the equality relation between elements of type α is definable as , i.e., xα = yα iff every set which contains xα also contains yα. However, in a nonstandard model of type theory, the sets may be so sparse that the wff above does not denote the true equality ...
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Requirements Engineering, 2006
The generic method model assumes that methods abound and method engineering and application engineering is done in diverse areas. Therefore, it is necessary to understand the notion of a method independent of information systems and software engineering.
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The generic method model assumes that methods abound and method engineering and application engineering is done in diverse areas. Therefore, it is necessary to understand the notion of a method independent of information systems and software engineering.
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IEEE Transactions on Biomedical Engineering, 2000
Simulation models are unavoidable in experimental research when the point is to develop new processing algorithms to be applied on real signals in order to extract specific parameter values. Such algorithms have generally to be optimized by comparing true parameter values to those deduced from the algorithm.
Jacques Duchêne, Jean-Yves Hogrel
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Simulation models are unavoidable in experimental research when the point is to develop new processing algorithms to be applied on real signals in order to extract specific parameter values. Such algorithms have generally to be optimized by comparing true parameter values to those deduced from the algorithm.
Jacques Duchêne, Jean-Yves Hogrel
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2013
Model assist is a feature of modelling environments aiding their users with entering well-formed models into an editor. Current implementations of model assist are mostly hard-coded in the editor and duplicate the logic captured in the environment's validation methods used for post hoc checking of models for well-formedness.
Friedrich Steimann, Bastian Ulke
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Model assist is a feature of modelling environments aiding their users with entering well-formed models into an editor. Current implementations of model assist are mostly hard-coded in the editor and duplicate the logic captured in the environment's validation methods used for post hoc checking of models for well-formedness.
Friedrich Steimann, Bastian Ulke
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A generalization of the Smagorinsky model
Applied Mathematics and ComputationzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shen C. Huang +4 more
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