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Institute of Electrical Power and Energy Technology
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Institute of Electrical Power and Energy Technology
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IEET > Staff > Honorary Professor > Prof. Dr.-Ing. Roland Harig

Prof. Dr.-Ing. Roland Harig

Honorary Professor

Contact

Prof. Dr.-Ing. Roland Harig
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C2 1.009

Previous activity

until 03/2015
Head of Research Area Optical Measurement Technology (Infrared Measurment Technology) at the Institute of Measurement Technology / TUHH

Publications

TUHH Open Research (TORE)

2012

2011

2008

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Machine Learning and Data Mining (VL)
Subtitle:
This course is part of the module: Machine Learning and Data Mining
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv340_s24
Lecturer:
Dipl. Informatiker Rainer Marrone
Description:
  • 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
Performance accreditation:
620 - Machine Learning and Data Mining<ul><li>620 - Machine Learning and Data Mining: Klausur schriftlich</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Softwaresysteme (E-16)
Registered participants in Stud.IP: 160
TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 36
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
Fax : +49 40 42878 2382
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