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  3. ECGR 6090/8090: Pattern Recognition II Spring 2008

ECGR 6090/8090: Pattern Recognition II Spring 2008

 

This course instructs students in the use probabilistic and statistical mathematics to develop computational models for the purpose of recognizing patterns in low-dimensional and high-dimensional spaces. Course topics include probability theory, introductory information theory, linear regression models, linear classifiers. Advanced topics in pattern recognition are also discussed and will vary each year.

List of articles in category ECGR 6090/8090: Pattern Recognition II Spring 2008
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ECGR6090/8090 Syllabus

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