Direct multi-task twin support vector machine (DMTSVM) is an effective algorithm to deal
with multi-task classification problems. However, the generated hyperplane may shift to …

With the bloom of machine learning, pattern recognition plays an important role in many
aspects. However, traditional pattern recognition mainly focuses on single task learning …

Direct multi-task twin support vector machine (DMTSVM) obtains great performance in
dealing with correlated tasks. However, DMTSVM only considers the empirical risk …

Direct multi-task twin support vector machine (DMTSVM) explores the shared information
between multiple correlated tasks, then it produces better generalization performance …

Twin support vector machine (TSVM) has attracted significant attention in recent years, but it
is suitable for solving the single-task learning (STL) problems. It trains each task …

Twin support vector machine (TWSVM) is proved to be better than support vector machine
(SVM) in most cases, since it only deals with two smaller quadratic programming problems …

Multi-task learning (MTL) has emerged as a promising topic of machine learning in recent
years, aiming to enhance the performance of numerous related learning tasks by exploiting …

With the boom in machine learning, support vector machine (SVM) is widely employed in
pattern recognition. However, most of SVM models concentrate on single-task learning, multi …

The K-nearest neighbor-weighted multi-class twin support vector machine (KWMTSVM) is
an effective multi-classification algorithm which utilizes the local information of all training …

Twin support vector machine (TSVM) has attracted much attention in the field of machine
learning with good generalization ability and computational performance. However, the …