Sentence examples for model classification technique from inspiring English sources

The SVM is a discriminative model classification technique that mainly relies on two assumptions.

The SVM is a discriminative model classification technique that mainly relies on two assumptions (Scholkopf and Smola, 2002).

The conditional random fields (CRFs) model is a classification technique which can automatically integrate various features, rather than manually organizing of heuristic rules.

On examination of the individual model fit for each classification technique, the linear discriminant analysis, classification and regression trees, artificial neural networks and support vector machines models were excluded as these classification techniques were deemed inferior in this study.

While the k-means cluster analysis and the ANN were used for visualization, the LDA model was applied as a classification technique.

Our methods were experimentally verified to be reliable and more effective in performance than the Linear Mixture Model and scene classification techniques.

First of all, we hope to examine and establish a set of computational strategies, including the property-based rules, the characterization of molecular frameworks and the classification models based on naïve Bayesian classification technique, for drug-likeness evaluation at different levels.

We trained our prediction model using the linear discriminant analysis (LDA) technique, a widely-used multivariate classification technique for our prediction modeling.

Blanco et al. 2013 introduced ANNs as credit scoring models for 5,500 borrowers of a Peruvian microfinance institution, and the results revealed that neural network models outperform other classification techniques.

These facts can be well modelled with ontology classification techniques (see Fig. 1).

In addition, there is increasing evidence that rather than looking at deviations from the 'normal' range values of a single biomarker, the combination of multiple biomarkers and the application of multivariate class modelling or discriminant classification techniques may improve the diagnostic potential of screening assays.