SucheAdvanced Topics in Machine Learning
| Dozent(in): | Prof. Dr. Martin E. Müller |
| Termin: | Fr. 12:00 - 14:00 |
| Gebäude/Raum: | 207 in F/Eichleitnerstr |
Inhalt der Lehrveranstaltung:
The following topics will be covered by this seminar:
- Machine Learning - Basics
- Clustering
- Information Gain
- Relational Learning
- Genetic Learning
- Statistical Learning
- Artificial Neural Networks
- Bayesian Learning
- Learnabilit
- Rough Set Data Analysis
Each topic makes approx. two paper presentations of 45 minutes length (i.e. two per session).
Material will be provided in the first session.
The participants are expected to carry out individual research (i.e. literature enquiry) on the assigned topics.
The classes must be attended on a regular basis.
Links:
weitere Informationen zu der Lehrveranstaltung:
| empfohlenes Studiensemester der Lehrveranstaltung: | ab dem 3. Semester |
| Fachrichtung Lehrveranstaltung: | Multimedia-Methoden |
| Dauer der Lehrveranstaltung: | 2 SWS |
| Typ der Lehrveranstaltung: | S - Seminar |
| Leistungspunkte: | 4 |
| Semester: | alle WS und SS |