Kernel regression for fMRI pattern prediction

NeuroImage

Volumn 56, Issue 2, 2011, Pages 662-673

  Chu, Carlton ^a,c   Ni, Yizhao ^b   Tan, Geoffrey ^a   Saunders, Craig J ^b   Ashburner, John ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

Author keywords

Automatic relevance determination (ARD); FMRI prediction; Kernel methods; Kernel ridge regression (KRR); Machine learning; Multivariate; Regression; Relevance vector machines (RVM)

Indexed keywords

ACCURACY; ARTICLE; CALCULATION; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EMOTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; KERNEL METHOD; PREDICTION; PRIORITY JOURNAL; RATING SCALE; RELIABILITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 79955043506     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.03.058     Document Type: Article

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