NCR Research Methods Consortium

ECE5524: Statistical Learning and Pattern Recognition Fall 2008

Dr. Yue Wang (Joseph)

Email: yuewang@vt.edu
Phone: (703) 387-6056
Fax: (703) 528-5543

This course will cover supervised learning, pattern classification, neural networks, support vector machine, unsupervised learning, cluster analysis, feature discovery, cross-validation, and independent component analysis, with an emphasis on the strategic frontier between machine learning and scientific discoveries. The course is theoretical, practical, and challenging in nature. Major effort will be made to present applications in the areas of genomic bioinformatics, computational biology, biomedical imaging, and computer-aided decision making.

Lectures: Tuesdays, 4:00pm – 6:45pm (Blacksburg: check with official schedule)

Office Hours: Tuesdays, 6:45pm- 7:30pm (e-mails are greatly welcome)

Textbook: T Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning, Springer, 2001.

References: Simon Haykin, Neural Networks: A Comprehensive Foundation, Prentice-Hall, Inc., 1999.
Hyvarinen, A., Karhunen, J. & Oja, E. Independent Component Analysis, John Wiley, New York, 2001.
Ripley, B. Pattern Recognition and Neural Networks, Cambridge University Press, 1996.

Pre-requisite: A graduate course covering probability theory, random variables, and random processes. Knowledge about signal detection and estimation is desirable (e.g., ECE 5605/5606).

Grading: Reading report 25%
Term paper proposal 25%
Final term paper 50%

Course Outline: Introduction to statistical and machine learning theory, statistical decision principles, linear discriminant analysis, Fisher criterion, multilayer perceptrons, support vector machine, feature selection, cross-validation and re-sampling, principal component analysis, self-organizing maps, mixture model and clustering, independent component analysis.

Honor Code: Adherence to Virginia Tech’s honor code is fully expected. Please discuss any questions you may have about what is or is not permitted with the instructor.

Published by admin on September 23 of 2008

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