Sentence examples for be of higher classification from inspiring English sources

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A multitude of experiments demonstrate three aspects: a) results of attribute reduction using GCRS model are proved to be of higher classification accuracies; b) attribute reduction based on GCRS model for big data manifests faster speed; c) results of rough self-learning experiments illustrate the validity of the proposed theory.

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That is, the base learners utilized in a robust ensemble classifier should be of high classification accuracy and avoid making coincident misclassification errors which in turn necessitate the diverse learners.

This study appears to be of high clinical relevance since the automated classification of malaria parasite is useful for mass screening and drug selection for treatment of the infection.

The results show that a mixed textual and conceptual representation only improves retrieval if the classification is of high quality.

Probabilities P (Bi |I'), where I' is of high dimension, can be constructed using different classification models, such as neural networks, discriminant analysis etc.

Under the usual system, students whose average marks are narrowly short of a higher classification (the threshold for a first is 70%) could be graded up only if they had sufficient individual marks of a first-class standard, said the report in the THES.

Recently, logical analysis of data (LAD) using a classifier based on a linear combination of patterns has been introduced, providing high classification accuracy and pattern-based interpretability on classification results.

The prime goal of this study is to achieve high classification accuracy for the good prognosis group and then achieve high classification accuracy for the poor prognosis group.

The aim of this study is to achieve high classification accuracy for the good prognosis group and then achieve high classification accuracy for the poor prognosis group.

Experiments demonstrate that D-ABC algorithm has better performance than traditional methods for this optimizing problem, and better parameters of SVM are obtained which lead to higher classification accuracy.

As a result of feature subset evaluation, it is concluded that the nine perceptual features have different order of importance involving different databases hence all of them should be used to achieve high classification accuracy.

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