Parametric Modelling
Automating Parametric Modelling From Reality-Based Data by Revit Api Development
... reality-based modelling and civil engineering structural analysis dealing with timber beam ...Information Modelling/Management The recently developed Building Information Modelling (BIM) technique is ...
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GDP nowcasting with ragged-edge data : A semi-parametric modelling
... semi-parametric modelling. This innovative approach lies on the use on non-parametric methods, based on nearest neighbors and on radial basis function approaches, to forecast the monthly variables ...
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Parametric Modelling of Multivariate Count Data Using Probabilistic Graphical Models
... To achieve these goals, we propose an approach based on graphical probabilistic models (Koller & Friedman, 2009) to represent the conditional independence relationships in N , and on parametric distributions ...
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Recursive Generation and Parametric Modelling of Two Dimensional Sinewaves
... a parametric linear recursive representation of a signal in order to model it as a sum of real or exponentials (in the case of undamped sinewaves, the exponential are imaginary) to which is added a stationary zero ...
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Hybrid parametric/non-parametric models for lifespan modeling of insulation materials
... the modelling of insulation material ...method. Parametric modelling through multilinear regression requires the estimation of a potentially high number of parameters in view of the reduced data ...
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Hybrid parametric/non-parametric models for lifespan modeling of insulation materials
... the modelling of insulation material ...method. Parametric modelling through multilinear regression requires the estimation of a potentially high number of parameters in view of the reduced data ...
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Contagion Between the Financial Sphere and the Real Economy. Parametric and non Parametric Tools: A Comparison
... To understand how a national economy’s evolution influences another coun- try’s economy, we are going to investigate the purpose of contagion or inter- dependence. We will extend it to international financial markets. ...
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Approximation of high-dimensional parametric PDEs
... Therefore, a typical parameter range is a set A ⊂ {a ∈ L ∞ (D) : a ≥ r}, which in addition is assumed to be compact in L ∞ . Although elementary, the above example gathers important features that are present in other ...
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Coverability Synthesis in Parametric Petri Nets
... We show how a procedure by Valk and Jantzen from [20] can be used for computing a finite minimal basis of the solution set for postT-PPNs or its complement for preT-PPNs. This requires deciding universal coverability in ...
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Liveness in L/U-Parametric Timed Automatá
... allows parametric coefficients different from 0 and 1, as well as diagonal constraints), but more permissive than [ AHV93 ], that only allows a syntax x ...complex parametric expressions in guards, using ...
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Parametric instability in periodically perturbed dynamos
... nonresonant parametric amplification can also be of importance for long-term variations of magnetic activity as, for example, found in the solar dynamo models of ...
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Parametric stiffness analysis of the Orthoglide
... Abstract This paper presents a parametric stiffness analysis of the Orthoglide. A compli- ant modeling and a symbolic expression of the stiffness matrix are conducted. This allows a simple systematic analysis of ...
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Decision Problems for Parametric Timed Automata
... a parametric extrapolation of the integer hull of symbolic states al- lows one to synthesize (rational-valued) parameter valuations for bounded PTAs, guaranteeing the synthesis of at least all integer-valued ...
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Parametric Stiffness Analysis of the Orhtoglide
... a parametric stiffness analysis shows that simple symbolic expressions carefully built and interpreted provide broad information on parallel manipulators stiffness ...
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Parametric versus nonparametric: the fitness coefficient
... [22] H. Joe. Dependence Modeling with Copulas. Chapman & Hall, 2014. [23] K. Kamary, K. Mengersen, C. P. Robert, and J. Rousseau. Testing hypotheses via a mixture estimation model. arXiv preprint arXiv:1412.2044, ...
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Parametric optimization of hybrid car engines
... Unité de recherche INRIA Rocquencourt Domaine de Voluceau - Rocquencourt - BP 105 - 78153 Le Chesnay Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois -[r] ...
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Modeling Musical Structure with Parametric Grammars
... It should be noted that we started with a paradigmatic analysis giving a first abstract representation of the musical surface. Such an intermediate repre- sentation, providing low-level semantics to the music, is here ...
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Approximation of high-dimensional parametric PDEs
... The second part of this article turns to the development of numerical algorithms based on the theoretically established sparse separable approximations. The numerical methods studied fall into two general categories. The ...
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Dynamic Data-Driven Parametric Dynamical Systems
... In this work we propose a dynamic parameter estimation procedure making use of a general solution obtained off-line. The first results allow us to conclude on the potentiality of such procedure to be employed in DDDAS. ...
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Parametric t-distributed stochastic exemplar-centered embeddin
... 3.2 Parametric t-Distributed Stochastic Exemplar-centered Embedding To address the instability, sensitivity, and unscalability is- sues of pt-SNE, we present deep t-distributed stochastic exemplar-centered ...
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