Sentence examples for multiple classification problem from inspiring English sources

Identifying types of J-proteins is a multiple classification problem.

One approach is to decompose the multi-classification problem into multiple binary classification problems, and then, the classification result of each binary classifier is combined to obtain the final classification result.

Specifically, we cast compartment prediction as multiple binary classification problems, where proteins of one nuclear body are labeled as positives and all proteins from other compartments are negatives (see Additional file 1 for protein identifiers and compartments when available).

Using the continuous cognition characteristic as the starting point, we propose a new framework of one-class classifier, named multiple regression model (OC-MR), which can be seen as a natural extension of multiple regression for one-class classification problem.

There are various strategies for decomposing a multiclass classification problem into multiple binary sub-problems.

Sorting all active label entries is a multi-label classification problem as multiple labels are decoded at the same time.

We formulate splicing prediction as a classification problem with multiple classes.

The multiclass SVM is an extension of the classification problem to multiple classes, instead of just a binary classification.

The classification problem of multiple classes is generally more difficult as compared to the classification of binary classes (Ding and Peng, 2005; Li et al., 2004).

On the other hand, machine learning algorithms such as Support Vector Machine (SVM) in GWAS considering multiple markers in classification problems, have demonstrated satisfactory performance as in [ 2], [ 6] and [ 7].

Hasan et al. [126] used CUDA to implement the self-organizing map (SOM) and multiple back-propagation (MBP) for the classification problem.