Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue

• Type: Another Publication in an International Scientific Journal
• Date: 2018

Authors

Pavel Brazdil (Author) FEP; Giraud Carrier, C (Author) Other

Journal

Title: Machine Learning

Vol. 107

Pages: 1-14

ISSN: 0885-6125

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 14 Citations

Scopus - 19 Citations

Other information

Authenticus ID: P-00N-D7K

DOI: 10.1007/s10994-017-5692-y

Abstract (EN): This article serves as an introduction to the Special Issue on Metalearning and Algorithm Selection. The introduction is divided into two parts. In the the first section, we give an overview of how the field of metalearning has evolved in the last 1-2 decades and mention how some of the papers in this special issue fit in. In the second section, we discuss the contents of this special issue. We divide the papers into thematic subgroups, provide information about each subgroup, as well as about the individual papers. Our main aim is to highlight how the papers selected for this special issue contribute to the field of metalearning.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14