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The REL is defined either as a historic baseline from past deforestation data, or as a modeled projection of such data [2, 4].
The REL is defined either as a historic baseline from past deforestation data, or as a modeled projection of such data [ 2, 4].
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Ambrose's projection of such a militaristic view thins his book's air of authenticity.
Indeed, projection of simulation data on such reaction coordinates yielded Gaussian distributions (data not shown) indicating that they do not contain information regarding Na+/Na2 release dynamics.
According to Yeung and Ruzzo [57], "PCs are uncorrelated and ordered, such that the kth PC has kth largest variance among all PCs; and the kth PC can be interpreted as the direction that maximizes the variation of the projection of the data points such that it is orthogonal to the first (k-1) PCs".
The contribution of a predictor variable to the response is measured by the VIP suggested previously [20], [21], i.e. the variable's importance in the projection of the data into such a space of latent variables, which corresponds best to the response.
The CSP method finds a set of projections of neural data such that the amount of variance obtained by linear combination of input channels is maximized for one class while it is minimized for another.
The KLE is analogous to a Fourier series expansion for a random process, where the goal is to find an orthogonal transformation for the data such that the projection of the data onto this orthogonal subspace is optimal in the L2 sense, i.e., which minimizes the mean square error.
Two such representations are considered, based on the orthogonal projection of uncertain data and solution variables using either a Haar or a Legendre basis.
The first coordinate in the new coordinate space is chosen such that the projection of the raw data points on this coordinate has the maximum variance.
Figure 7 Projection of training data and classification boundaries.
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CEO of Professional Science Editing for Scientists @ prosciediting.com