CSE290C: Advanced Topics in Machine Learning

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.

5 Credits

This class has not been taught recently.

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Formerly CMPS 290C

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