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Automated Machine Learning
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- The Springer series on challenges in machine learning
- Topic
- Machine Learning and Data Classification
- Field
- Computer Science
- Canadian institutions
- —
- Funders
- BrainLinks-BrainToolsDeutsche ForschungsgemeinschaftInstitut national de recherche en informatique et en automatique (INRIA)Generalitat de CatalunyaNatural Sciences and Engineering Research Council of CanadaEuropean CommissionCentres de Recerca de Catalunya
- Keywords
- Computer scienceArtificial intelligenceMachine learning
- Has abstract in OpenAlex
- yes