Sentence examples for by incorporating the kernel from inspiring English sources
(2) By incorporating the kernel technique into the factor analysis, a new feature selection method (KFA) is presented to exploit the nonlinear representative features with non-Gaussian distributions.
By incorporating the kernel techniques into factor analysis, the superiority of KFA method is demonstrated to tackle the uncertainty and non-Gaussian features in the vibration measurements for feature selection and fusion.
Once L is optimized with respect to and after incorporating the kernel function,, we get the following SVDD statistic [11] (4).
By incorporating the L1-RPS kernel in an optimized implementation of a kernel-based BN scoring approach, the information stripping data discretization step in the conventional BN learning methods is avoided (Supplementary information, Methods S1).
Our meta-predictor is developed by incorporating the available knowledge on functions of protein domains into our kernel data fusion framework, giving a promising total accuracy of 89.30%.
Based on this observation, we combine these methodologies by incorporating Gaussian kernel with fuzzy rough sets and propose a Gaussian kernel approximation based fuzzy rough set model.
Further, the standard LapRLS is improved by incorporating a new kernel established from the known drug-protein interaction network (NetLapRLS).
Kernel principal component analysis (KPCA) generalizes the traditional PCA to the nonlinear dimensionality reduction method by incorporating kernel techniques.
Mathematical models of disease spread in livestock, such as for foot-and-mouth disease (FMD), have done this by incorporating a transmission kernel which describes the decay in transmission rate with increasing Euclidean distance from an infected premises (IP).
The differential equation mathematical model for MW-ANNs are designed for Troesch's system by incorporating a windowing kernel based on Morlet Wavelets as an activation function and these networks are constructed to define a fitness function of Troesch's system in the mean squared sense.
To extend (12) by incorporating multiple kernels and Laplacians for clustering, we propose a strategy to learn their optimal-weighted convex linear combinations.
