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Course Description
| CS 355 - Statistical Pattern Recognition | ||
| Instructor(s): Robert Snapp |
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| Description: Analysis of algorithms used for feature selection, density estimation, and pattern classification, including Bayes classifiers, maximum likelihood, nearest neighbors, kernels, discriminants, neural networks, and clustering. |
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| Prerequisites: Stat 241 or 251 or instructor permission. |
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| Methodologies: Pattern recognition/classification/data mining, Statistical modeling |
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| Domains: Not specific to any particular application domain |
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| Frequency: Not sure | ||
| Credits: 3 | ||
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