Automated Machine Learning

Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin

doi:10.1007/978-3-030-05318-5

bookThe Springer series on challenges in machine learningJan 1, 2019HYBRID OA

Automated Machine Learning

FHFrank Hutter LKLars Kotthoff JVJoaquin Vanschoren

University of Freiburg · University of Wyoming · +1 more institution

Indexed incrossref

Abstract

This open access book gives the first comprehensive overview of general methods in Automatic Machine Learning, AutoML, collects descriptions of existing AutoML systems based on these methods, and discusses the first international challenge of AutoML systems.

Citation impact

1,377

total citations

FWCI: 76.39
Percentile: 100%
References: 463

Citations per year

Authors

FH
Frank HutterCorresponding
University of Freiburg
LK
Lars Kotthoff
University of Wyoming
JV
Joaquin Vanschoren
Eindhoven University of Technology

Topics & keywords

Topics

Machine Learning and Data Classification32%

Keywords

Computer science
Artificial intelligence
Machine learning

No related works found for this paper.

Funding

IN
Institut national de recherche en informatique et en automatique (INRIA)
CD
Centres de Recerca de Catalunya
EC
European Commission
Award: 716721
DF
Deutsche Forschungsgemeinschaft
GD
Generalitat de Catalunya
NS
Natural Sciences and Engineering Research Council of Canada
B
BrainLinks-BrainTools