CSE282 Advanced Topics in Machine Learning (Fall semester 2008)


Miguel Á. Carreira-Perpiñán
Assistant professor
Electrical Engineering and Computer Science
School of Engineering
University of California, Merced
mcarreira-perpinan-[at]-ucmerced.edu; 209-2284545
Office: 284, Science & Engineering Building

Office hours: by appointment (call or email, including [CSE282] in the subject).

Lectures: Tuesdays/Thursdays 1:30-2:45pm (Classroom Building 209)

Lab class: Fridays 1:30-4:15pm (Linux Lab, SE138)

Course web page: http://faculty.ucmerced.edu/mcarreira-perpinan/CSE282

Course description

The course reviews advanced topics in machine learning. Machine learning is the study of models and algorithms that learn information from data. Machine learning ideas underlie many algorithms in computer vision, speech processing, bioinformatics, robotics, computer graphics and other areas. The 2008 edition of the course will focus on dimensionality reduction and manifold learning.

Prerequisites: the course is intended for graduate students who have taken an introductory course in machine learning (such as CSE276).


There is no required textbook. Selected readings will appear in this web page in due course. The following are two reviews of dimensionality reduction and manifold learning techniques:

Other books on general machine learning:


Dimensionality reduction and manifold learning links

Matlab tutorials

If you have never used Matlab, there are many online tutorials, for example:

Other links

Miguel A. Carreira-Perpinan
Last modified: Mon Nov 24 16:34:18 PST 2008

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