Volume 107, Issue 1

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January 2018

Special Issue on Metalearning and Algorithm Selection; Guest Editors: Pavel Brazdil and Christophe Giraud-Carrier

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10 articles in this issue

Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue
Pavel Brazdil
Christophe Giraud-Carrier
Editorial 29 December 2017 Pages: 1 - 14
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Efficient benchmarking of algorithm configurators via model-based surrogates
Katharina Eggensperger
Marius Lindauer
Kevin Leyton-Brown
OriginalPaper 22 December 2017 Pages: 15 - 41
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization
Martin Wistuba
Nicolas Schilling
Lars Schmidt-Thieme
OriginalPaper 22 December 2017 Pages: 43 - 78
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Speeding up algorithm selection using average ranking and active testing by introducing runtime
Salisu Mamman Abdulrahman
Pavel Brazdil
Joaquin Vanschoren
OriginalPaper 14 November 2017 Pages: 79 - 108
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Instance spaces for machine learning classification
Mario A. Muñoz
Laura Villanova
Kate Smith-Miles
OriginalPaper 28 December 2017 Pages: 109 - 147
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
The online performance estimation framework: heterogeneous ensemble learning for data streams
Jan N. van Rijn
Geoffrey Holmes
Joaquin Vanschoren
OriginalPaper Open access 21 December 2017 Pages: 149 - 176
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Discovering predictive ensembles for transfer learning and meta-learning
Pavel Kordík
Jan Černý
Tomáš Frýda
OriginalPaper 21 December 2017 Pages: 177 - 207
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Data complexity meta-features for regression problems
Ana C. Lorena
Aron I. Maciel
Ricardo B. C. Prudêncio
OriginalPaper 21 December 2017 Pages: 209 - 246
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction
Brandon Malone
Kustaa Kangas
Petri Myllymäki
OriginalPaper 20 December 2017 Pages: 247 - 283
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery
Ivan Olier
Noureddin Sadawi
Ross D. King
OriginalPaper Open access 22 December 2017 Pages: 285 - 311
Part of 2 collections:

Special Issue on Metalearning and Algorithm Selection

Special Issue on Metalearning and Algorithm Selection

Volume 107, Issue 1

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