ELM Preference Learning for Physiological Data. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. (ESANN'17)
Davide Bacciu, Michele Colombo, Davide Morelli, David Plans · Surrey Research Insight Open Access (The University of Surrey) · 2017
The work confronts two approaches to realize preference learning using Extreme Learning Machine networks, relaying on limited and subject-dependant information concerning pairwise relations between data samples. We describe an application within the context of assessing the effect of breathing exercises on heart-rate variability, using a dataset of over 19K exercising sessions. Results highlight the importance of using weight sharing architectures to learn smooth and generalizable complete orders induced by the preference relation.