Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.


Advanced Machine Learning (Vorlesung)

Dozent/in: Ulf Brefeld

wöchentlich | Donnerstag | 10:15 - 11:45 | 17.10.2022 - 03.02.2023 | C 12.013 | kreidetafel und Beamer erforderlich!

Inhalt: The course deals with advanced topics in machine learning and information retrieval and focus on techniques that exceed the standard supervised learning setting (e.g., discriminating positive and negative classes). Possible topics include intelligent retrieval, recommendation, text mining, sequential learning, graphical models, clustering, semi-supervised learning, etc.

Numerical Algorithms and Methods to Identify Dynamical Systems for Data Analysis and Reconciliation (Vorlesung)

Dozent/in: Paolo Mercorelli

wöchentlich | Donnerstag | 16:15 - 17:45 | 17.10.2022 - 03.02.2023 | C 40.106 Konrad-Zuse-Raum

Inhalt: The course is structured in three parts: - Kalman Filters: the linear case, the nonlinear case (extended and augmented Kalman filters), cascaded Kalman Filters, Dual Kalman Filters - Recursive Least Squares Methods System Identification - Introduction to Wavelets packets: Data Analysis and Reconciliation The topics mentioned above are developed using Matlab/Simulik directly in the Computers Room together with the teacher.