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

Add to Portfolio (opens a new window)

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.

Add to Portfolio (opens a new window)