fMRI analysis via one-class machine learning techniques

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2005, Pages 1604-1605

  Hardoon, David R ^a   Manevitz, Larry M ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b UNIVERSITY OF HAIFA   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN ACTIVITY; CLASSIFICATION ABILITY; FMRI DATA; FMRI-ANALYSIS; LABELED DATA; MACHINE LEARNING TECHNIQUES; MOTOR ACTIVITY; ONE CLASS-SVM;

ARTIFICIAL INTELLIGENCE;

LEARNING SYSTEMS;

EID: 33745915605     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Ola Friman. Adaptive Analysis of Functional MRI Data. PhD thesis, Linkoping Studies in Science and Technology, 2003.
2. Larry Manevitz and Malik Yousef. One-class svms for document classification. Journal of Machine Learning Research 2, pages 139-154, 2001.
3. T.M. Mitchell, R. Hutchinson, R.S. Niculescu, F. Pereira, X. Wang, M. Just, and S. Newman. Learning to decode cognitive states from brain images. Machine Learning, 1-2:145-175, 2004.
4. B. Scholkopf, J. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson. Estimating the support of a high-dimensional distribution. Technical Report 99-87, Microsoft Research., 1999.