Semi-supervised ensemble update strategies for on-line classification of fMRI data

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	172-177
Journal	Pattern Recognition Letters
Volume	37
Early online date	6 Apr 2013
DOIs	https://doi.org/10.1016/j.patrec.2013.03.029
Publication status	Published - 1 Feb 2014

Keywords

@article{2c26893847944688998a717aee206e3a,

title = "Semi-supervised ensemble update strategies for on-line classification of fMRI data",

keywords = "Semi-supervised learning, Online learning, Classifier ensemble, fMRI",

author = "Plumpton, \{Catrin Oliver\}",

year = "2014",

month = feb,

day = "1",

doi = "10.1016/j.patrec.2013.03.029",

language = "English",

volume = "37",

pages = "172--177",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Semi-supervised ensemble update strategies for on-line classification of fMRI data

AU - Plumpton, Catrin Oliver

PY - 2014/2/1

Y1 - 2014/2/1

KW - Semi-supervised learning

KW - Online learning

KW - Classifier ensemble

KW - fMRI

U2 - 10.1016/j.patrec.2013.03.029

DO - 10.1016/j.patrec.2013.03.029

M3 - Article

SN - 0167-8655

VL - 37

SP - 172

EP - 177

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

ER -