COMP / ELEC / STAT 502, spring 2012
| Class meets: TTH 2:30 - 3:45pm, DH 1075
Instructor: Erzsébet Merényi email: erzsebet@rice.edu Office/Phone: DH 2040, 713-348-3595 Office hour: W 11:00am - 12:00 noon, or by appointment Assistant: Advising: by appointment |
Syllabus Prerequisites Course Flyer Disability Allowances Last Updated: February 9, 2012 |
Short course description: Review of major Artificial Neural Network paradigms. Analytical discussion of supervised and unsupervised learning. Emphasis on state-of-the-art Hebbian (biologically most plausible) learning paradigms and their relation to information theoretical methods. Applications to data analysis such as pattern recognition, clustering (information discovery), classification, non-linear PCA, independent component analysis, with lots of examples from image and signal processing and other areas.
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