Raynaut, William and Soulé-Dupuy, Chantal
and Vallés-Parlangeau, Nathalie
Meta-Mining Evaluation Framework : A large scale proof of concept on Meta-Learning.
(2016)
In: 29th Australian Conference on Artificial Intelligence 2016 (AI 2016), 5 December 2016 - 8 December 2016 (Hobart, Australia).
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 854kB |
Official URL: https://doi.org/10.1007/978-3-319-50127-7_18
Abstract
This paper aims to provide a unified framework for the evaluation and comparison of the many emergent meta-mining techniques. This framework is illustrated on the case study of the meta-learning problem in a large scale experiment. The results of this experiment are then explored through hypothesis testing in order to provide insight regarding the performance of the different meta-learning schemes, advertising the potential of our approach regarding meta-level knowledge discovery.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Thanks to Springer editor. This papers appears in Volume 9992 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-319-50126-0 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-50127-7_18 |
| HAL Id: | hal-01692700 |
| Audience (conference): | International conference proceedings |
| Uncontrolled Keywords: | |
| Institution: | Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) |
| Laboratory name: | |
| Statistics: | download |
| Deposited On: | 12 Jan 2018 15:15 |
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