Sentence examples for model classification is from inspiring English sources

In Table  2, a definition of the modelling terms used for model classification is provided.

Thus, hierarchical model classification is unable to correct a prediction mistake made at the top node.

In this paper, existing energy model classifications are scanned for adequate model characteristics and accordingly, a confined number of models are selected and described.

In this model, classification cost is not considered at that place for each commodity.

Both linguistic analysis and EANN model achieved accurate results; however the performance of EANN model for classification is much better.

This illustrates that replacing clustering-based classification of dynamic gene expression patterns with model-based classification is advantageous for discovering the mechanisms underlying cellular control processes.

An SVM model for meter classification is built on each training split using the feature subset.

An explicit rough fuzzy model for pattern classification is proposed in the present paper.

A comparison with Hidden Markov Models for video classification is also provided.

Uptake of this model of classification was slow, due in part to a lack of evidence of international validation.

The best performing model for level 2 (subfamily) classification is SVM T 7, while the best performing model for level 3 (amine) classification is SVM T 1.