Using these data, we sought to compare LR against four common ML algorithms: penalized lasso, support vector machine (SVM), k-nearest neighbor (KNN), and random forest (RF) in classification ...

Support vector machines (SVM): SVM is a powerful classification and regression algorithm that performs well in dealing with non-linear relationships.

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

The BO-GBRT model accurately predicts compressive strength in self-compacting concrete with recycled aggregates, improving ...