Sentence examples for pattern classification algorithm from inspiring English sources

The pattern classification algorithm achieved a correct classification percentage of 92.12% using the information of the entire database.

This article employs adaptive rank-order morphological filter to develop a pattern classification algorithm for fault diagnosis in benchmark chemical process: Tennessee Eastman process.

The delineated networks were assigned to one of three morphologic classes dendritic, parallel or rectangular using a quantitative terrestrial drainage pattern classification algorithm modified for use with Titan data.

The purpose of this study was to develop a pattern classification algorithm for use in predicting the location of new contrast-enhancement in brain tumor patients using data obtained via multivariate magnetic resonance (MR) imaging from a prior scan.

Shan et al. (2012) used the multi-class pattern classification algorithm of C-support vector machine and the regression algorithm of ε-support vector machine to identify the damage location and damage extent, respectively, in a railway continuous girder bridge.

These are the estimates that we use as the input to the pattern classification algorithm described below.

We addressed this problem by evaluating a set of pattern classification algorithms on simulated and experimental block-design fMRI data.

A wide selection of standard statistical pattern classification algorithms can be applied as trainable fusion rules while designing neural network ensembles.

The emergence of attractive pattern classification algorithms such as the Gaussian mixture model (GMM), neural network (NN), and hidden Markov model has received attention as a potential means to discriminate between normal and pathological voices [6 13].

MVPA involves the use of powerful pattern classification algorithms to extract spatial and/or temporal patterns from neuroimaging data, and uses this information to categorize individual observations into different categories [Lao et al., 2004].

Thus, defining an anatomical mask allows us to provide our pattern classification algorithms with the entire repertoire of information that is processed in primary somatosensory cortex (see Meyer et al. 2011).