Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

Ilia Nouretdinov; Sergi G. Costafreda; Alexander Gammerman; Alexey Chervonenkis; Vladimir Vovk; Vladimir Vapnik; Cynthia H. Y. Fu

doi:10.1016/j.neuroimage.2010.05.023

Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

Ilia Nouretdinov
, Sergi G. Costafreda
, Alexander Gammerman
, Alexey Chervonenkis
, Vladimir Vovk
, Vladimir Vapnik
, Cynthia H. Y. Fu

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

Original language	English
Pages (from-to)	809-813
Number of pages	5
Journal	NeuroImage
Volume	56
Issue number	2
Early online date	17 May 2010
DOIs	https://doi.org/10.1016/j.neuroimage.2010.05.023
Publication status	Published - 15 May 2011

Access to Document

10.1016/j.neuroimage.2010.05.023

http://www.sciencedirect.com/science/article/pii/S105381191000755X

Cite this

@article{71309e1ea2d947ae8c9e424f4e717f80,

title = "Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression",

author = "Ilia Nouretdinov and Costafreda, \{Sergi G.\} and Alexander Gammerman and Alexey Chervonenkis and Vladimir Vovk and Vladimir Vapnik and Fu, \{Cynthia H. Y.\}",

note = "Copyright {\textcopyright} 2010. Published by Elsevier Inc.",

year = "2011",

month = may,

day = "15",

doi = "10.1016/j.neuroimage.2010.05.023",

language = "English",

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T1 - Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

AU - Nouretdinov, Ilia

AU - Costafreda, Sergi G.

AU - Gammerman, Alexander

AU - Chervonenkis, Alexey

AU - Vovk, Vladimir

AU - Vapnik, Vladimir

AU - Fu, Cynthia H. Y.

PY - 2011/5/15

Y1 - 2011/5/15

U2 - 10.1016/j.neuroimage.2010.05.023

DO - 10.1016/j.neuroimage.2010.05.023

M3 - Article

C2 - 20483379

SN - 1053-8119

VL - 56

SP - 809

EP - 813

JO - NeuroImage

JF - NeuroImage

IS - 2

ER -