Sentence examples for binary classification has been from inspiring English sources

This appealing binary classification has been linked, for example, to the advantage of sex, but it does not extend to higher-dimensional genotype spaces.

Support vector machines (SVMs), originally designed for binary classification, have been applied for multi-class classification with effective decomposition and reconstruction schemes.

Actually binary text classification has been one of the most extensively studied areas in IR, machine learning and natural language processing, e.g. the surveys (8)–(10).

To automate the analysis, a method based on a binary classification tree has been proposed.

Such a binary classification has not fully considered the clinical aspects of each sample.

Local binary pattern (LBP) has been widely applied to texture classification due to its simplicity, efficiency, and rotation invariant property.

In its basic form it is a linear, binary classifier, but it has been extended to non-linear, multiclass classification.

In most examples of cancer classification, binary classifiers have been used, with multi-class predictors only rarely applied.

In this paper, the proposed technique has been utilized for binary classification of EEG signals.

MDR has been designed for binary classification ranking.

To classify the targets we feed those parameters to an open-source implementation [5] of a support vector machine (SVM) [6], a machine-learning methodology based on statistical learning theory [7, 8] that in the past has been used to perform binary classification [9] and regression [10] and has recently been adapted for multicategory classification [11].