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...
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Published in | Neurocomputing (Amsterdam) Vol. 298; pp. 9 - 20 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
12.07.2018
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Subjects | |
Online Access | Get full text |
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