Automated Machine Learning - The Springer Series on Challenges in Machine Learning
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Published By Springer International Publishing

9783030053178, 9783030053185

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Towards Automatically-Tuned Deep Neural Networks

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_7 ◽

2019 ◽

pp. 135-149 ◽

Cited By ~ 9

Author(s):

Hector Mendoza ◽

Aaron Klein ◽

Matthias Feurer ◽

Jost Tobias Springenberg ◽

Matthias Urban ◽

...

Keyword(s):

Neural Networks ◽

Deep Neural Networks

Meta-Learning

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_2 ◽

2019 ◽

pp. 35-61 ◽

Cited By ~ 19

Author(s):

Joaquin Vanschoren

Keyword(s):

Meta Learning

The Automatic Statistician

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_9 ◽

2019 ◽

pp. 161-173 ◽

Cited By ~ 2

Author(s):

Christian Steinruecken ◽

Emma Smith ◽

David Janz ◽

James Lloyd ◽

Zoubin Ghahramani

TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_8 ◽

2019 ◽

pp. 151-160 ◽

Cited By ~ 33

Author(s):

Randal S. Olson ◽

Jason H. Moore

Keyword(s):

Machine Learning

Auto-sklearn: Efficient and Robust Automated Machine Learning

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_6 ◽

2019 ◽

pp. 113-134 ◽

Cited By ~ 17

Author(s):

Matthias Feurer ◽

Aaron Klein ◽

Katharina Eggensperger ◽

Jost Tobias Springenberg ◽

Manuel Blum ◽

...

Keyword(s):

Machine Learning ◽

Automated Machine Learning

Hyperparameter Optimization

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_1 ◽

2019 ◽

pp. 3-33 ◽

Cited By ~ 40

Author(s):

Matthias Feurer ◽

Frank Hutter

Keyword(s):

Hyperparameter Optimization

Analysis of the AutoML Challenge Series 2015–2018

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_10 ◽

2019 ◽

pp. 177-219 ◽

Cited By ~ 5

Author(s):

Isabelle Guyon ◽

Lisheng Sun-Hosoya ◽

Marc Boullé ◽

Hugo Jair Escalante ◽

Sergio Escalera ◽

...

Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_4 ◽

2019 ◽

pp. 81-95 ◽

Cited By ~ 7

Author(s):

Lars Kotthoff ◽

Chris Thornton ◽

Holger H. Hoos ◽

Frank Hutter ◽

Kevin Leyton-Brown

Keyword(s):

Model Selection ◽

Hyperparameter Optimization ◽

Automatic Model Selection

Correction to: Neural Architecture Search

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_11 ◽

2019 ◽

pp. C1-C1 ◽

Cited By ~ 27

Author(s):

Thomas Elsken ◽

Jan Hendrik Metzen ◽

Frank Hutter

Keyword(s):

Neural Architecture

Hyperopt-Sklearn

Automated Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-05318-5_5 ◽

2019 ◽

pp. 97-111 ◽

Cited By ~ 2

Author(s):

Brent Komer ◽

James Bergstra ◽

Chris Eliasmith

Automated Machine Learning - The Springer Series on Challenges in Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Towards Automatically-Tuned Deep Neural Networks

Meta-Learning

The Automatic Statistician

TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning

Auto-sklearn: Efficient and Robust Automated Machine Learning

Hyperparameter Optimization

Analysis of the AutoML Challenge Series 2015–2018

Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA

Correction to: Neural Architecture Search

Hyperopt-Sklearn

Automated Machine Learning - The Springer Series on Challenges in Machine Learning
Latest Publications