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Instead of the common C-SVM, the v-SVM is selected as the binary classifier, in which the parameter v varies only from 0 to 1 and can be determined more easily.
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We used the pairwise strategy for classification (one-against-one), i.e., the classifier will build K K-1)/2 binary classifiers in which K K-1the numbinary classifiers thin case K = 13).
As a consequence, the next binary classifier in the classifier chain is used for the discrimination between the next feed phase pair etc.
An evolutionary search is applied to find the best binary classifier in each NBC with respect to a given criterion.
Since SVM and AdaBoost were originally designed for binary classifier, in this paper, OAO (One Against one) approach was used for classifiers to generate a multi-classifier to train the model.
The ROC curve is a plot of the sensitivity versus 1-specificity when using a binary classifier in combination with increasing or decreasing the threshold of the discriminator.
"In order to be efficient on datasets with a very large number of categories, fastText uses a hierarchical classifier, in which the different categories are organized in a tree, instead of a flat structure (think binary tree instead of list)," said Facebook authors Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov in a post.
The idea is to learn (k) binary classifiers in parallel.
the SVM-SGD algorithm deals with the imbalanced datasets for building binary classifiers, the SVM-SGD algorithms also takes very long time to train very large number of binary classifiers in sequential mode using a single processor.
Cross validation of binary classifiers in gene expression data has been investigated extensively [ 54].
Each output bit of the converter is the output of a binary classifier, which is a nonlinear SVM.
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