Sentence examples for models by projecting from inspiring English sources

Prescott and Draper (2004, 2008) discussed the construction of designs for component-amount models by projecting standard symmetric mixture designs (simplex-lattice and simplex-centroid designs) in lower dimensions.

We derive a reduced order model by projecting the governing partial differential equations along the linear modal basis of the Timoshenko beam.

PLS makes a linear model by projecting the input and output variables onto a new space [ 12, 13].

Finally, the time course of treatment of each individual will be modeled by projecting the outcome measures on orthogonal linear, and quadratic of time.

PLS Discriminant Analysis is used to find a linear regression model by projecting the dependent features and the independent features to a new space.

Partial least-squares discriminant analysis (PLS-DA) finds a linear regression model by projecting the predicted variables and the observable variables to a new space.

Partial least-squares (PLS) regression is a statistical method that develops a linear regression model by projecting the predicted variable (% parasitemia) and the observable variable (spectra) onto a new multidimensional space.

Instead of finding hyperplane of maximum variance between the input and response variables, it finds a linear regression model by projecting both variables to a new space (Boulesteix and Strimmer, 2007; Fornell and Bookstein, 1982; Lê Cao et al., 2008; Liu and Rayens, 2007; Tenenhaus et al., 2005).

Partial least squares ("PLS", [ 35 ]) can be seen as a technique related to Principal Components Regression but which fits a linear regression model by projecting the predicted variables and the observable variables to a new space where the relation between the variables can be better visualized.

Karhunen Loeve (Galerkin) projection to develop a reduced-order model obtained by projecting the velocity field onto the most important POD modes.

For further efficiency, TPWL has to accompany a space-reducing scheme, which is used for reducing the number of model unknowns by projecting it into a lower space.