All transistor operating regions are covered without the use of partially defined equations or smoothing functions.
These are the use of a Constraint Aggregation function (KS function) and Smoothing Functions.
Other researchers have focused on the choice of the kernel and smoothing functions [45, 46].
The non-linear relationships are modelled as nonparametric smoothing functions in this context.
Previous attempts to rectify this sparse coverage of conformational space have involved application of weighting and smoothing functions.
In terms of smoothing, the user is able to use both Laplacian [28] and windowed sinc [29] smoothing functions.
In the past few years, there have been many different smoothing functions which were employed to smooth equation (6).
We now apply, to our example, the two other smoothing functions (Equations (2) and (3)) in liaison with method II.
In this paper, we propose an inexact smoothing-type algorithm for solving the generalized support vector machines based on a new class of smoothing functions.
It is the third set (or its subset thereof) which will be subjected to the DWT domain treatment with three different smoothing functions on each subband individually.
As in protocols 1 and 2, no smoothing functions were applied and both the complete tooth volume and dental root volume were measured.
