In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
On-Demand Computing fulfills the need of computing availability at limited hardware and software costs. Distributed systems of this kind typically store user files in a shared ...
Fabio Dellutri, Salvatore Di Blasi, Giuseppe F. It...
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Sh...
The drive from the South African Government towards the adoption of open source software across all platforms, incurred a number of research and development questions. The open so...
The paper presents first results of a project that aims at building a model-based tool for functional testing of control software for passenger vehicles. The objective is that this...