Jul 15, 2024  
2017-2019 Graduate Catalog 
    
2017-2019 Graduate Catalog [ARCHIVED CATALOG]

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CSE 6160 - Pattern Recognition and Machine Learning

(4 credits)

Introduction to recognition and learning; Bayes decision theory; parametric and nonparametric methods including Hidden Markov models; Discriminant functions including support vector machines; Multilayer neural networks; Decision and regression trees for learning; Performance estimation; Unsupervised learning and clustering; Subspace methods; Application. Formerly CSE 616.

Prerequisite(s): Students must meet prerequisites (CSE 5006 and CSE 5007) or equivalent.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.



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