Results for the purity-independent model fitting
Model Fitting with Distributed Data
... As can be seen, the results are similar to the original model fit. We have successfully tested examples and deployed distcomp at real sites for fitting survival models with breast cancer registries. ...
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Statistical Model Fitting and Model Selection in Pedestrian Dynamics Research
... on model parameters, L is a function of the model parameters in ...conditionally independent. For our example, this means that we assume our model captures any correlations or dependencies ...
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Statistical Model Fitting and Model Selection in Pedestrian Dynamics Research
... on model parameters, L is a function of the model parameters in ...conditionally independent. For our example, this means that we assume our model captures any correlations or dependencies ...
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Parameter estimation and model fitting of stochastic processes
... the model, while the three components stays relatively iso- ...The results from VAR(1) does not directly violate the two beliefs we assume for yield curves, however, the tiny differences in yields among the ...
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BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING
... We present here some coherent explanations and illustrations of concepts about boosting, some derivations which are novel, and we aim to increase the understanding of some methods and some selected known results. ...
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Fitting a stochastic fire spread model to data
... a model to sequences of satellite-based pho- tographs of ...the model could be used to produce the maps of fire spread risk that are in demand by forest fire ...the results appear ...
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Volume Deformation Based on Model-Fitting Surface Extraction
... the model-fitting lattice construction, this research uses octree data structure to separate the volume data set for implementing voxel-based masses and parameterized elastic characteristics in the designed ...
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Effect of data scaling on color device model fitting
... better results when modeling variables with positive relationship can be explained by simple adaptation of the estimated coefficients to model this ...better results than scaling it by ...
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A Method For Fitting A pRARMAX Model: An Application To Financial Data
... ∗ 31 March 2010; University of Minho, /DMAT-CMAT, Braga - Portugal Email: [email protected] & Faculdade de Ciˆencias da Universi- dade de Lisboa/DEIO-CEAUL, Lisboa - Portugal Email: [email protected] ficient of ...
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Efficient Generic Face Model Fitting to Images and Videos
... hence independent of training ...3D fitting of a deformable 3D model to the detected ...3D fitting scheme is devised for estimating the 3D pose of the face as well as its deformable parameters ...
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Fitting, Not Clashing! A Distributional Semantic Model of Logical Metonymy
... Experimental results have shown higher processing costs for metonymic conditions compared with non-metonymic ones (read the ...distributional model of thematic fit, which does not encode any explicit ...
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Automatic Multi-Model Fitting for Blood Vessel Extraction
... Outlier model is not only useful for the noise voxels, but also it can temporarily accept those vessel voxels that are currently not well fitted by any ...of results with and without outlier ...
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Energy Based Multi-Model Fitting and Matching Problems
... the number of outliers is m o = 0. In this case n = 1, 000, 000 gives only 92% confi- dence, but even this number of samples n is too large to be practical. At the same time, under-sampling could lead to suboptimal ...
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Robust mixture regression model fitting by Laplace distribution
... simulation results are shown in the following tables (Table 1, 2, and 3), which report the mean squared errors (MSE) and bias (Bias) of the parameter estimates for each case in different estimate ...
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Hypergraph Optimization for Multi-Structural Geometric Model Fitting
... In this section, we firstly evaluate the performance on syn- thetic data of AIE compared several robust scale estimation methods including the median (MED), the median abso- lute deviation (MAD), KOSE (Lee, Meer, and ...
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FITTING OF A PARTIALLY REPARAMETERIZED GOMPERTZ MODEL TO BROILER DATA
... Gompertz Model is Adjudged to be the Best fit) IV. RESULTS AND DISCUSSION The above dataset was fitted to different nonlinear models using SAS ...for fitting of nonlinear ...Gompertz model ...
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An approximation method for improving dynamic network model fitting
... for independent control of the incidence of tie formation and of relational ...to model the dynamic evolution of the network under the assumption that they come from a stochastic process that has reached ...
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Interactive Volume Deformation Based on Model Fitting Lattices
... After finishing the explanation of Monte-Carlo techniques for rendering iso-surface, the rest contents will focus on volume scattering. Scattering is a physical process which makes the light deviate from its original ...
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Fitting the two-compartment model in DCE-MRI by linear inversion
... Values for protocol 2 were estimated on the same data after time-averaging to a TR of 12.5s. RESULTS Figure 2 provides an illustration of the data and model fits at the highest noise level considered in ...
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