Servicenavigation
deutsch
|
Sitemap
|
Contact
|
Search
Archivierte Version! ⇒ Zur Aktuellen [de]…
Archived Version! ⇒ Go to Current [en]…
Department
Studies
Research
Career
You are here:
Department of Statistics
>
Department
>
Chairs
>
Staff
>
Dr. Jakob Richter
Department
Events
Events and Talks
Archive
Department
Chairs
Computational Statistics
Statistical Methods for Big Data
Mathematical Statistics
Mathematical Statistics with Applications in Biometrics
Mathematical Statistics and Applications in Industry
Econometrics and Statistics
Econometrics
Mathematical Statistics and Applications in Sciences
Statistics with Application in Engineering Sciences
Statistical Methods in Social Sciences
Statistical Methods in Genetics and Chemometrics
Business and Social Statistics
SFB 823
People
Dean
Information
Studies
Statistical Consulting
Centre for Statistical Consulting and Analysis
Contact
Contact and Travel Directions
Head
Prof. Dr.
Jörg Rahnenführer
Office
M.A.
Eva Brune
Academic Staff
M.Sc.
Julia Duda
Dr.
Birte Hellwig
Dr.
Franziska Kappenberg
Dr.
Michel Lang
M.Sc.
Ludger Sandig
M.Sc.
Marieke Stolte
Dr. Jakob Richter
Statistische Methoden in der Genetik und Chemometrie
Contact
Office:
Mathematik,
Room E 12a
Phone:
+49 231 755 - 8053
E-Mail:
richter@statistik.tu-dortmund.de
Address:
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund
Studium
Bachelorarbeit: Auswertung von ortsgebundenen Daten auf Straßenebene am Beispiel von Verkehrsunfällen in London
Masterarbeit: Model-Based Hyper-Parameter Tuning for Large Scale Learning Problems
Forschungsinteressen
Machine Learning
Hyperparameter Optimierung
Black-Box Optimierung, Modellbasierte Optimierung
Large Scale Data
Software Projects
Maturing:
mlr3: Machine Learning in R - next generation
mlr3tuning: Hyperparameter Tuning for mlr3
paradox: Consistent interface to define and program on parameter spaces
mlr3mbo: next generation of mlrMBO
Stable:
mlr: Machine Learning in R
mlrMB0: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
mlrHyperopt: Easy Hyper Parameter Optimization with mlr and mlrMBO
Publikationen
Publications on Google Schoolar
Last update 06.11.2020 13:53
|
Privacy
|
Impressum