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Best-fitting parameters from reprocessing model

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters

... in model selection, due to the variance of the model selection ...the model selection criterion, and so will generally tend to encourage ...the best via ...

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On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table

On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table

... of parameters and best model fits of log linear model for n-dimensional contingency ...log-linear model for three-dimensional contingency ...and best model fit, com- puter ...

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Leather for motorcyclist garments: Multi-test based material model fitting in terms of Ogden parameters

Leather for motorcyclist garments: Multi-test based material model fitting in terms of Ogden parameters

... T. Bonko´wski et al. / Applied and Computational Mechanics 11 (2017) XXX–YYY Fig. 1. The leather in a motorcycle garment [15] leather: preparatory stages, tanning, and crusting. Mechanical properties of the leather as ...

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Fast Design of Jerusalem-Cross Parameters by Equivalent Circuit Model and Least-Square Curve Fitting Technique

Fast Design of Jerusalem-Cross Parameters by Equivalent Circuit Model and Least-Square Curve Fitting Technique

... empirical model are different from those obtained by the least-square curve fitting ...of parameters generated by the least-square curve fitting technique make a good agreement with ...

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Data Engineering by the Best 1Convex Data Fitting Method

Data Engineering by the Best 1Convex Data Fitting Method

... the Best ` 1 Convex Data Fitting Method ...like parameters that are both important to the characterization of the solution and useful for sensitivity ...U.S.A. from 1947 to ...

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Proposed Generalized Method and Algorithms for the Estimation of Parameters and Best Model Fits of Log Linear Model

Proposed Generalized Method and Algorithms for the Estimation of Parameters and Best Model Fits of Log Linear Model

... of parameters and best model fits of log linear model for q-dimensional contingency ...of parameters of log –linear model for five- dimensional contingency ...these ...

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Structure Oriented Compact Model for Advanced Trench IGBTs without Fitting Parameters for Extreme Condition: Part II

Structure Oriented Compact Model for Advanced Trench IGBTs without Fitting Parameters for Extreme Condition: Part II

... Advanced IGBTs with the special scalable miniaturization of the structure exhibit feature of extremely high current conduction capability thanks to high stored carrier in the N-Base layer (see Fig. 1) [1-4]. The IGBT ...

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Structure Oriented Compact Model for Advanced Trench IGBTs without Fitting Parameters for Extreme Condition: Part II

Structure Oriented Compact Model for Advanced Trench IGBTs without Fitting Parameters for Extreme Condition: Part II

... Advanced IGBTs with the special scalable miniaturization of the structure exhibit feature of extremely high current conduction capability thanks to high stored carrier in the N-Base layer (see Fig. 1) [1-4]. The IGBT ...

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Statistical Model Fitting and Model Selection in Pedestrian Dynamics Research

Statistical Model Fitting and Model Selection in Pedestrian Dynamics Research

... on model parameters, L is a function of the model parameters in ...our model captures any correlations or dependencies between consecutive or indeed between any ∆t i and ∆t j ...the ...

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Statistical Model Fitting and Model Selection in Pedestrian Dynamics Research

Statistical Model Fitting and Model Selection in Pedestrian Dynamics Research

... on model parameters, L is a function of the model parameters in ...our model captures any correlations or dependencies between consecutive or indeed between any ∆t i and ∆t j ...the ...

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Parameter estimation and model fitting of stochastic processes

Parameter estimation and model fitting of stochastic processes

... curve model in Chapter 7. Along the development of the model from standard vector autoregres- sive model to the hierarchical heteroscedastic regression model, we will incorporate the ...

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Efficient 3D Morphable Face Model Fitting

Efficient 3D Morphable Face Model Fitting

... the best face recognition rate so far on Multi- PIE over both pose and illumination ...results from the fact that the fitting process of ESO can explicitly model the ...

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Fitting a stochastic fire spread model to data

Fitting a stochastic fire spread model to data

... Boychuk model from the point of view of data ...data from a burning wildfire and investigate the following two ...the model to the data? And secondly, is it possible to carry out model ...

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Fitting the best-fit distribution for the hourly rainfall amount in the Wilayah Persekutuan

Fitting the best-fit distribution for the hourly rainfall amount in the Wilayah Persekutuan

... the best-fit model for the hourly rainfall amounts for the twelve stations in the Wilayah Persekutuan, four distributions namely, the Exponential, Gamma, Weibull and Mixed- Exponential were ...used. ...

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Fitting the best-fit distribution for the hourly rainfall amount in the Wilayah Persekutuan

Fitting the best-fit distribution for the hourly rainfall amount in the Wilayah Persekutuan

... the best-fit model for the hourly rainfall amounts for the twelve stations in the Wilayah Persekutuan, four distributions namely, the Exponential, Gamma, Weibull and Mixed- Exponential were ...used. ...

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Identifying Material Parameters for a Micro-Polar Plasticity Model Via X-Ray Micro-Computed Tomographic (Ct) Images: Lessons Learned from the Curve-Fitting Exercises

Identifying Material Parameters for a Micro-Polar Plasticity Model Via X-Ray Micro-Computed Tomographic (Ct) Images: Lessons Learned from the Curve-Fitting Exercises

... deviates from the experimental response in the sense that the peak stress and residual stress do not coincide and the softening phenomenon is not ...calibrated parameters lead to a deformed configuration ...

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Volume Deformation Based on Model-Fitting Surface Extraction

Volume Deformation Based on Model-Fitting Surface Extraction

... extracted from the segmented throat data and skull data in a MRI-scanned human ...extracted from the MC process contains a huge number of polygons, ...skull model in ...deformation parameters ...

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Model fitting and prediction with HIV treatment interruption data

Model fitting and prediction with HIV treatment interruption data

... data from early infection periods with models to predict long term set points ...current model requires values of 20 model parameters and 7 initial conditions to carry out longitudinal ...

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Efficient Generic Face Model Fitting to Images and Videos

Efficient Generic Face Model Fitting to Images and Videos

... the fitting error obtained using all the Candide-3m points, not only those that are ...PCA model obtained from a training stage with a database of facial ...the best possible results ...

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Over-Fitting in Model Selection with Gaussian Process Regression

Over-Fitting in Model Selection with Gaussian Process Regression

... Abstract. Model selection in Gaussian Process Regression (GPR) seeks to determine the optimal values of the hyper-parameters governing the covariance function, which allows flexible customization of the GP ...

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