Randomized neural networks for preference learning with physiological data

The paper discusses the use of randomized neural networks to learn a complete ordering between samples of heart-rate variability data by relying solely on partial and subject-dependent information concerning pairwise relations between samples. We confront two approaches, i.e. Extreme Learning Machin...

Full description

Saved in:
Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 298; pp. 9 - 20
Main Authors Bacciu, Davide, Colombo, Michele, Morelli, Davide, Plans, David
Format Journal Article
LanguageEnglish
Published Elsevier B.V 12.07.2018
Subjects
Online AccessGet full text

Cover

Loading…