Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface

H Raza; D Rathee; S Zhou; H Cecotti; G Prasad

doi:10.48550/arxiv.1805.01044

Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface

H Raza
, D Rathee
, S Zhou
, H Cecotti
, G Prasad

School of Nursing and Midwifery

Research output: Working paper / Preprint › Preprint

35 Downloads (Pure)

Original language	English
Number of pages	0
DOIs	https://doi.org/10.48550/arxiv.1805.01044
Publication status	Published - 2 May 2018

Keywords

32 Biomedical and Clinical Sciences
40 Engineering
4003 Biomedical Engineering
46 Information and Computing Sciences
3208 Medical Physiology
4611 Machine Learning
Networking and Information Technology R&D (NITRD)
Bioengineering

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10.48550/arxiv.1805.01044

PrePublication

Cite this

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AU - Cecotti, H

AU - Prasad, G

PY - 2018/5/2

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KW - 40 Engineering

KW - 4003 Biomedical Engineering

KW - 46 Information and Computing Sciences

KW - 3208 Medical Physiology

KW - 4611 Machine Learning

KW - Networking and Information Technology R&D (NITRD)

KW - Bioengineering

UR - https://pearl.plymouth.ac.uk/nm-research/543/

U2 - 10.48550/arxiv.1805.01044

DO - 10.48550/arxiv.1805.01044

M3 - Preprint

BT - Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface

ER -

Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface

Keywords

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Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface

Cite this