Sentence examples for discrimination and classification from inspiring English sources

We describe a new hierarchy of Categorical Decisions Structures that distinguishes between screening, discrimination, and classification modes.

The aim of this study was to investigate the validity of recA gene as a molecular marker for the reliable discrimination and classification of dairy propionibacteria and the closely related species.

On this basis, the indexes sensitive to mental workload were screened, and an integrated model for the discrimination and prediction of mental workload of aircraft cockpit display interface was established based on the Bayesian Fisher discrimination and classification method.

The performance of the suggested bicepstrum-based classifier is examined using experimental radar data processing for solving one of the most important and difficult problems in radar automatic target recognition (ATR) systems, which deals with discrimination and classification of a single walking person and group of walking persons in a vegetation clutter and AWGN environment.

It has been shown in our previous articles [6, 7, 10, 11] that sophisticated bispectrum-based signal processing permits the extraction and use for radar target recognition of the discrimination and classification of phase coupled harmonics in raw radar backscattering contaminated by additive white Gaussian noise (AWGN) and vegetation clutter.

Despite recent interest in these nonparametric methods, the overwhelming majority of applications of discrimination and classification still rely on various parametric assumptions.

Qualitative (e.g., frequency histogram and box charts) and quantitative analyses (e.g., spectral discrimination index and classification accuracy) were adopted to examine the performance of the developed RNDSI.

Since the SOHMMM carries out probabilistic sequence analysis with little or no prior knowledge, it can have a variety of applications in clustering, dimensionality reduction and visualization of large-scale sequence spaces, and also, in sequence discrimination, search and classification.

It can perform both the linear space discrimination and nonlinear classification by choosing different kernel functions which can be linear, polynomial kernel, radical basis function (RBF) and sigmoid.

The final model was prespecified to be that with the best discrimination and risk classification of the four, averaged across the sexes.

This paper proposes an ANN based fault detection, section identification (direction discrimination), fault classification and faulty phase selection schemes which consider the fundamental components of current and voltage signals of 3-phase as input.