Among the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a separating hyperplane for a set of labeled data points. In some applications, however, labels are only available for a subset of points. Furthermore, this subset can be...

In dynamic environments, making classification decisions based on classical intelligent decision support systems is a challenge, as the classification performance of decision-making and the time-cost of learning need to be considered simultaneously. Moreover, many tasks of classification...