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IEET > Staff > Research Assistants > Florian Strobel, M.Sc.

Florian Strobel

M.Sc.
Research Assistant

Contact

Florian Thorsten Lutz Strobel
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.014
Phone: +49 40 42878 2750
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Research Project

DISEGO
Critical Components for Distributed and Secure Grid Operation

DISEGO

Critical Components for Distributed and Secure Grid Operation

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

to the project page

Publications

TUHH Open Research (TORE)

2023

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Machine Learning and Data Mining (VL)
Untertitel:
This course is part of the module: Machine Learning and Data Mining
Semester:
SoSe 24
Veranstaltungstyp:
Vorlesung (Lehre)
Veranstaltungsnummer:
lv340_s24
DozentIn:
Dipl. Informatiker Rainer Marrone
Beschreibung:
  • Decision trees
  • First-order inductive learning
  • Incremental learning: Version spaces
  • Uncertainty
  • Bayesian networks
  • Learning parameters of Bayesian networks
    BME, MAP, ML, EM algorithm
  • Learning structures of Bayesian networks
  • Gaussian Mixture Models
  • kNN classifier, neural network classifier, support vector machine (SVM) classifier
  • Clustering
    Distance measures, k-means clustering, nearest neighbor clustering
  • Kernel Density Estimation
  • Ensemble Learning
  • Reinforcement Learning
  • Computational Learning Theory
Leistungsnachweis:
620 - Machine Learning and Data Mining<ul><li>620 - Machine Learning and Data Mining: Klausur schriftlich</li></ul>
ECTS-Kreditpunkte:
6
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Softwaresysteme (E-16)
In Stud.IP angemeldete Teilnehmer: 158

Supervised Theses

ongoing
completed
TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 22a
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
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