The “sliced cylinder” and “sliced cone” models
Stratified spin up in a sliced, square cylinder
... square cylinder described in Foster and Munro, 14 the E 1/2 / α -scale corner eddies now grow to fill the container on the E −1/2 time scale, so that fluid flows from the interior core and into the Ekman layers, ...
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The spin up of a linearly stratified fluid in a sliced, circular cylinder
... circular cylinder with a linearly-sloped base, whose axis is aligned with the rotation axis, is spun up from a rotation rate Ω to Ω + ∆Ω (with ∆Ω ≪ Ω) by Rossby waves propagating across the ...
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Sliced Recurrent Neural Networks
... Table 2: The accuracy and training time on validation and test sets of the models on each dataset. Four different structures of SRNNs are constructed. DCCNN is dilated casual convolutional neural network, which is ...
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Collaborative Sliced Inverse Regression
... 4.2 Test case B To investigate the strengths and limitations of the method, 100 different mixtures of Gaussian models are generated. Different values of sample size n, dimension p, number of components c and ...
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Student Sliced Inverse Regression
... Models I, III are homoscedastic while model II is heteroscedastic. Case (ii) is built to test the sensitivity to outliers while the distribution of X is ellip- tical. In (iii) a non-elliptical distribution of X is ...
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Sliced Inverse Regression for Lifetimes and a Remark on High-Dimensional Graphical Models
... One can also consider the classification approach or assigning the observations to a set of classes. This family of procedures covers discriminant analysis, random forests, support vector machines, logistic regression ...
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Coordinate Singularities in Harmonically-sliced Cosmologies
... ds 2 = e λ/2 t −1/2 ( −dt 2 + dθ 2 ) (22) + e P t[dσ 2 + 2Q dσ dδ + (Q 2 + e −2P ) dδ 2 ] . The spatial coordinates θ, σ and δ range from 0 to 2π. A cosmological singularity occurs at time t = 0 and the model expands ...
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Optimal Assignment Plan in Sliced Backhaul Networks
... The resulting assignments at 6 p.m. show that both models encounter difficulties in ensuring fair vBS-facility associa- tion when the available capacity is highly limited, namely, MIN. When the smallest ...
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Tobit Model Estimation and Sliced Inverse Regression
... four models, just as it is designed to do, and is usually the most ef- fective ...For models 1 (nonlinear mean function) and 3 (non-Gaussian error) the LAD and CQR estimators are second-best, with their ...
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Energy requirements for drying of sliced agricultural products: A review
... most sliced fruits and vegetables, result in higher energy ...benefits. Models for predicting the amount of energy required to dry a given mass of different sliced agricultural products at different ...
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A note on the choice of the number of slices in sliced inverse regression
... It can be seen immediately from the figures that, even if the estimated dimension reducing directions may not be affected much by the number of slices ([18] Li, 1991; [5] Chen and Li, 1998), the situation is different ...
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Generation of Test Cases from Sliced Sequence Diagram
... which represents different dependence relations that may be present among classes and their sub-classes, methods, and attributes, and call sequences. This intermediate representation represents elements in an xml ...
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Comparison of sliced inverse regression approaches for underdetermined cases
... and interpretation especially when n is small and p is large. This technique tends to shrink the regression coefficients towards zero in order to select a sparse subset of covariates and provide a better prediction ...
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Sliced Gromov-Wasserstein
... the Sliced Gromov-Wasserstein and a variant Rotation-invariant SGW and prove that both conserve various properties of the GW distance while being cheaper to compute and applicable in a large-scale ...
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Parametric and Sliced Causality
... 5.2 Sliced Causality Increases Coverage Exponentially As already mentioned, the coverage and therefore the predictive capability of runtime analysis based on causality depends directly upon the number of sound ...
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Sliced Ridgelet Transform for Image Denoising
... Figure 8 MRI Scan Image donoising comparison, Table 1 MRIScan Comparison with various donoising techniques For strong noise, the non-local methods, namely VisuShrink, Weiner2 and Guassian, Sliced Rigelet clearly ...
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SPOT: Sliced Partial Optimal Transport
... computing sliced opti- mal transport of point sets of different cardinalities, and used it for color matching and within a similarity transform estimation algo- ...with sliced partial Wasserstein ...
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Sliced Wasserstein Kernel for Persistence Diagrams
... the Sliced Wasser- stein approximation of the Wasserstein distance to define a new kernel for PDs, which is not only provably stable but also discriminative (with a bound depending on the number of points in the ...
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Regularization methods for Sliced Inverse Regression
... for Sliced Inverse Regression Caroline Bernard-Michel, Laurent Gardes, Stephane Girard To cite this version: Caroline Bernard-Michel, Laurent Gardes, Stephane ...for Sliced Inverse ...
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Robust Sliced Inverse Regression Procedures
... As a second indicator of breakdown of a GSIR procedure the largest eigenvalue of the.. covariance estimate used in the fourth step is considered.[r] ...
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