Neural Machine Learning and Data Mining II

CT Score

1500

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ELEC 502 or COMP 502 or STAT 502 Description: Advanced topics in ANN theories, with a focus on learning high-dimensional complex manifolds with neural maps (Self-Organizing Maps, Learning Vector Quantizers and variants). Application to data mining, clustering, classification, dimension reduction, sparse representation. The course will be a mix of lectures and seminar discussions with active student participation, based on most recent research publications. Students will have access to professional software environment to implement theories. Cross-list: COMP 602 , STAT 602 . Repeatable for Credit. Course URL: www.ece.rice.edu/~erzsebet/NMLcourseII.html→ELEC 602→unlocks 2 courses

2 mapped courses list ELEC 602 as a prerequisite. See on the map →

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