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Course Offerings

Course Details

Spring 2009-2010
ELE 571  

Digital Neurocomputing

Sun-Yuan Kung

The course will cover machine learning techniques & applications. Machine learning techniques topics: a) adaptive techniques for feature selection & dimension reduction, b) unsupervised cluster discovery: K-means, SOFM, hierarchical clustering, c) supervised classifiers e.g. linear discriminant analysis (LDA), support vector machines, & d) kernel-based clustering/classification techniques. Genomic and multimedia applications will be explored.

Sample reading list:
SY Kung, M.W. Mak, S.H. Lin, Biometric Authentication: A Machine Learning Approach (2004)
Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert, Kernel methods in computational biology (2004)

Other Requirements:
Not Open to Freshmen.

Other information:
The grade will be based on course projects.

Website:  http://www.blackboard.princeton.edu

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
42154 S01 9:30 am - 10:50 am M W   Engineering Quad B-Wing   B418   Enrolled:15 Limit:16