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Specifically, we first use a local linear regression model to automatically learn multiple view-based Laplacian graphs for preserving the local geometric structure of motion data.
Practically, for the approximate solution (phi_{m+1}), we use a local linear approximation x which uses the information of both the solution and its slope depending on the error (e_{m}) at time (t_{m}) and solve the deferred equation (4) with RK4.
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A first order method, also called a vertex direction method, uses a local linear approximation of the optimality criterion at the actual point.
The extended Kalman filter (EKF) uses a local linear approximation of the model.
A Laplacian matrix for data ranking is employed, using a local linear regression model to predict the ranking scores of its neighboring points.
We estimated the posterior distributions of demographic parameters under the final HA invasion scenario presented in Fig. 1 using a local linear regression on the 1% closest of 5×106 simulated data sets [22], [24].
For simplicity, I used a local linear approximation of the system in Euclidian coordinates.
We then smoothed the normalized scores using a local linear kernel smoother, as in Fan and Gijbels (1996), over the probe locations.
ABC was implemented using the R package abc (Csilléry et al. 2012), and the posterior distribution of admixture time was computed using a local linear regression (Beaumont et al. 2002) with a tolerance rate of 0.2.
Use a local neighborhood watch program.
Locally weighted partial least squares (LW-PLS) is one of Just-in-Time (JIT) modeling methods; PLS is used to build a local linear regression model every time when output variables need to be estimated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com