Pattern Recognition Exercise
Course 0000000946 in SS 2018
General Data
| Course Type | exercise |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Chair of Human-Machine Communication (Prof. Rigoll) |
| Lecturers | |
| Dates |
20 dates in groups |
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Pattern recognition applications, feature extraction for patterns, data preprocessing, distance classifiers, decision functions, polynomial classifiers, clustering methods, self-organizing maps, Bayes classifiers, Maximum Likelihood methods, probabilistic inference, VC dimension, decision trees and random forests, perceptron, support vector machines. |
|---|---|
| Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2023 | Pattern Recognition Exercise | Gilg, J. Rigoll, G. Teepe, T. | |
| SS 2022 | Pattern Recognition Exercise | Gilg, J. Rigoll, G. Teepe, T. |
Fri, 11:30–13:00, N1189 |
| SS 2021 | Pattern Recognition Exercise | Rigoll, G. Teepe, T. | |
| SS 2020 | Pattern Recognition Exercise | Rigoll, G. Watzel, T. |
Fri, 11:30–13:00, virtuell |
| SS 2019 | Pattern Recognition Exercise | Rigoll, G. |
Fri, 11:30–13:00, N1189 and singular or moved dates |
| SS 2017 | Pattern Recognition Exercise | ||
| SS 2016 | Pattern Recognition Exercise |