In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
Project-centered learning increasingly demands for communication tools to enhance learners’ virtual interaction. In the context of the COOPER EU project a
Nicola Aste, Aldo Bongio, Stefano Ceri, Marco Fais...
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...