Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees.

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees.

OBJECTIVE:Using traditional approaches, a brain-computer interface (BCI) requires the collection of calibration data for new subjects prior to online use. Calibration time can be reduced or eliminated e.g., by subject-to-subject transfer of a pre-trained classifier or unsupervised adaptive classific...

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Bibliographic Details
Main Authors: David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5391120?pdf=render

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http://europepmc.org/articles/PMC5391120?pdf=render

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