Results from fitting the multivariate model
Dynamic Modeling of Multivariate Counts - Fitting, Diagnostics, and Applications
... similar results for roadway features and pedestrian characteristics hav- ing significant correlation with pedestrian injury severity from their study on rural Connecticut state-maintained ...mathematical ...
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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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Fitting a Poisson Regression Model to Reported Deaths from HIV/AIDS in Nigeria
... The results revealed that Nigeria HIV/AIDS pandemic is made up of multiple epidemics spatially located in different parts of the country with most of them having the potential of being sustained into the future ...
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A multivariate model of stalking behaviours
... A MULTIVARIATE MODEL OF STALKING BEHAVIOURS David ...derived from the- oretical accounts of the differences between ...The results lend support to the exis- tence of a intensity facet that ...
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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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Efficient 3D Morphable Face Model Fitting
... knowledge, these methods have reported the best face recognition rate so far on Multi- PIE over both pose and illumination variations. Systems deploying these methods learned 3 pose- and illumination-invariant features: ...
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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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3D Human Pose Estimation from a Monocular Image Using Model Fitting in Eigenspaces
... estimation from monocular ...the model-based ...and model- based approaches to improve the estimation ...to model the mapping from visual observations to human ...the model-based ...
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A Multivariate Model of Strategic Asset Allocation
... doubling from one asset menu to another implies that an investor would require twice as much wealth to obtain the same utility with the worse asset menu than with the better ...report results for a base ...
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A multivariate model for classifying texts’ readability
... on results from using the multi- variate readability model SVIT to classify texts into various ...SVIT model can be transformed to values on known criteria like vocabulary, gram- matical ...
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A Multivariate Model of Strategic Asset Allocation
... Merton model. In a continuous-time model with a constant riskless interest rate and a single risky asset whose expected return follows a mean-reverting (Ornstein-Uhlenbeck) process, for example, the ...
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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
... 2013-8423 from producing different gradients between data points by scaling the ...better results when modeling variables with positive relationship can be explained by simple adaptation of the estimated ...
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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 ...possible results from this ...
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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 ...datasets from psycholinguistic experiments and find that a structured ...
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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 ...case. ...
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Hypergraph Optimization for Multi-Structural Geometric Model Fitting
... state-of-the-art model fitting methods including CBS (Tennakoon et ...experimental results are obtained by running 50 ...decreased from 1900 to 100, which means that the outlier ratio is ...
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