CMPS290C: Advanced Topics in Machine Learning

*****COURSES ARE SUBJECT TO CHANGE*****

In-depth study of current research topics in machine learning. Topics vary from year to year but include multi-class learning with boosting and SUM algorithms, belief nets, independent component analysis, MCMC sampling, and advanced clustering methods. Students read and present research papers; theoretical homework in addition to a research project. Prerequisite(s): course 242.

5 Credits

YearFallWinterSpringSummer
2017-18
2016-17
2015-16
2014-15
2013-14
2012-13
2011-12
2008-09
2007-08
2006-07
2005-06
2004-05
2003-04
2002-03

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.