Sentence examples for multiple kernel discriminant from inspiring English sources

This paper presents a new method for estimating error degrees in numerical weather prediction via multiple kernel discriminant analysis (MKDA -based ordinal regression.

In this paper, we present a new method for error degree estimation in numerical weather prediction via multiple kernel discriminant analysis (MKDA -based ordinal regression.

LDA inspires multiple advanced variants such as Kernel Discriminant Analysis (KDA) [14, 15], which can obtain nonlinear subspaces.

This method utilizes unlabeled instances to reduce the data distribution gap by incorporating multiple speed-up spectral regression kernel discriminant analysis (SRKDA) into the original supervised method.

Kernel discriminant analysis (KDA) is effective to extract nonlinear discriminative features of input samples using the kernel trick.

Features are combined using random forests and kernel discriminant analysis.

A PNN is based on a statistical algorithm known as kernel discriminant analysis [54].

It was derived from Bayesian Networks [73] and Kernel Discriminant Analysis [74].

These features are combined using several classifiers, including random forests and kernel discriminant analysis.

Kernel discriminant analysis, which employs the kernel technique to perform linear discriminant analysis in a high-dimensional feature space, is developed to extract the significant nonlinear features which maximise the between-class variance and minimise the within-class variance.

The Binary Kernel Discriminant (BKD) is an example of a method which uses information from inactive molecules.