Multiview learning problem refers to the problem of learning a classifier from multiple view
data. In this data set, each data point is presented by multiple different views. In this paper …

Regularized multitask learning is explicitly interpreted hereas a many-objective optimization
problem, dealt with a deterministic solver that properly controls the sampling of the Pareto …

Considering a single prediction task at a time is the most commonly paradigm in machine
learning practice. This methodology, however, ignores the potentially relevant information …

Supervised classification is a sub-task of machine learning where the goal is to infer a
classification function using labeled data. A vast amount of research has been conducted in …