Twin support vector machine (TSVM) is an emerging machine learning model with versatile applicability in classification and regression endeavors. Nevertheless, TSVM confronts noteworthy challenges: 1) ...

This paper presents active set support vector regression (ASVR), a new active set strategy to solve a straightforward reformulation of the standard support vector regression problem. This new ...

Soft analyzers have been increasingly accepted as an alternative to physical ones in the chemical industry to infer and improve the product quality. In this study, an adaptive least-squares support ...

data-science machine-learning linear-regression machine-learning-algorithms naive-bayes-classifier logistic-regression decision-trees support-vector-machines machine-learning-from-scratch ...

python machine-learning cross-validation pandas splitting accuracy ensemble recall support-vector-machine softmax-regression decision-tree precision normalization f1-score k-nearest-neighbors stacking ...