DFG Projekt im SPP Autonomes Lernen Auto-Tune: Automatic structure optimization of learning algorithms on big datasets

We aim to automate the design of machine learning algorithms, in order to facilitate their use by non-experts. Although automated adaptation is a core idea of machine learning, most algorithms still require a choice of external design parameters by an expert, which limits their commercial success. Finding the best instantiation of an existing learning framework is an optimization problem: search through the combined space of different machine learning algorithms, and find the best one. Because this space of possible setups is very large, we will use assumptions and prior knowledge about regularity among, and interdependence between different setups to guide the search efficiently.

Projektbeginn: 01.03.2015
Projektende: 28.02.2018

Brox T.

Albert-Ludwigs-Universität Freiburg
Mustererkennung und Bildverarbeitung
Prof. Dr. Thomas Brox
Georges-Köhler-Allee, Gebäude 052
79110 Freiburg i. Br.

Telefon: +49-761-203-8260
Fax: +49-761-203-8262
http://lmb.informatik.uni-freiburg.de/

Dr. Frank Hutter Dr. Philipp Hennig (MPI Tübingen)

• DFG, DFG