Learning using structured data: Application to fMRI data analysis

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 495-499

  Liang, Lichen ^a   Cherkassky, Vladimir ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; EDUCATION; STATISTICAL METHODS;

JOINT CONFERENCE; REAL-LIFE APPLICATIONS;

NEURAL NETWORKS;

EID: 51749097342     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371006     Document Type: Conference Paper

References (9)

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3. Chapelle, O. , Schölkopf, B. and Zien, A. Eds., Semi-Supervised Learning, MIT Press, 2006
4. Cherkassky, V. and Mulier, F. Learning from Data, John Wiley & Sons, New York, second edition, 2007.
5. Hastie, T. , Tibshirani, R. and Friedman, J. The Elements of Statistical Learning. Data Mining, Inference and Prediction, Springer, 2001.
6. Vapnik, V. Estimation of Dependences Based on Empirical Data, Springer Verlag, New York, 1982.
7. Vapnik, V. Statistical Learning Theory, Wiley, New York, 1998.
8. Vapnik, V. Empirical Inference Science Afterword of 2006, Springer, 2006.
9. Wang, X., Hutchingson, R. and Mitchell, T. Training fMRI classifier to discriminate cognitive state across multiple subjects, NIPS, 2004.