Pattern Recognition, Adv.
| Numbering Code | G-ENG76 63165 LE12 | Year/Term | 2022 ・ First semester |
|---|---|---|---|
| Number of Credits | 2 | Course Type | Lecture |
| Target Year | Target Student | ||
| Language | English | Day/Period | Wed.2 |
| Instructor name |
KAWAHARA TATSUYA (Graduate School of Informatics Professor) NISHINO KO (Graduate School of Informatics Professor) NOBUHARA SHOUHEI (Graduate School of Informatics Associate Professor) YOSHII KAZUYOSHI (Graduate School of Informatics Associate Professor) |
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| Outline and Purpose of the Course | We first explain fundamentals of pattern recognition, clustering methods with several distance measures, and discriminant functions with their learning methods. We then introduce advanced classifiers such as HMM, SVM and CRF and also related topics of machine learning theory, which includes EM learning, the MDL criteria, and Bayesian learning. | ||
| Schedule and Contents |
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| Course Requirements | None | ||
| Related URL | |||
