Sentence examples for selection dimension from inspiring English sources

iPF incorporates automatic feature selection, dimension reduction, data smoothing and pattern visualization in the feature topology plot.

The design optimization considered: Selection, dimensioning, location and integration of processes; operation optimization with respect to both hourly variations in operating conditions over the year as well as expected long term energy system development; and uncertainty analysis considering both investment costs and operating conditions.

Neighboring-dimension selection, where certain dimension is assumed to be affected by the same dimension and its neighbor dimension.

Although this type of frame has many nice properties, ETF does not exist for any arbitrary selection of dimension.

This classification method emphasizes on the applicability of the classification method in input actuator selection and dimension design.

It should be emphasized that the selection of dimension reduction technique also has to be careful and in accordance with the aim of data analysis.

In this paper, we propose a new formulation of the sparse PLS (SPLS) procedure to allow both sparse variable selection and dimension reduction.

Published studies have shown that the performance of feature selection and dimension reduction methods is data-dependent with no one dominating another [ 2, 3].

In order to demonstrate the importance of feature selection in dimension reduction, we have performed the following series experiments by using support vector machine (SVM) as the classifier: 1. SVM is a baseline method, all the genes without any selection and extraction are input into SVM for classification.

Furthermore, our proposed derivative component analysis suggests the subtle data characteristics gleaning and de-noising are essential in separating true signals from red herrings for high-dimensional proteomic profiles, which can be more important than the conventional feature selection or dimension reduction.

Single-dimension selection, where the dimensions are assumed to be independent on each other and certain dimension is only affected by the same dimension.