Generative versus discriminative training of RBMs for classification of fMRI images

Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference

Volumn , Issue , 2009, Pages 1409-1416

  Schmah, Tanya ^a   Hinton, Geoffrey E ^a   Zemel, Richard S ^a   Small, Steven L ^b   Strother, Stephen ^c  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF CHICAGO   (United States)

^c ROTMAN RESEARCH INSTITUTE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE CLASSIFICATION;

CLASSIFICATION TASKS; CONDITION; DISCRIMINATIVE TRAINING; GENERATIVE MODEL; LOGISTICS REGRESSIONS; MOST LIKELY; OVERFITTING; STROKE RECOVERY;

NEUROIMAGING;

EID: 78149327745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

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