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Raynaut, William
, Soulé-Dupuy, Chantal and Vallès-Parlangeau, Nathalie
(2016)
Meta-Mining Evaluation Framework : A large scale proof of concept on Meta-Learning.
In: 29th Australian Conference on Artificial Intelligence 2016 (AI 2016).
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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) |
|---|---|
| Language: | English |
| Date: | 2016 |
| Uncontrolled Keywords: | Meta-mining - Meta-learning - Evaluation criterion - Hypothesis testing - Knowledge discovery |
| Subjects: | H- INFORMATIQUE |
| Divisions: | Institut de Recherche en Informatique de Toulouse |
| Site: | UT1 |
| Date Deposited: | 28 Mar 2019 15:36 |
| Last Modified: | 02 Apr 2021 15:59 |
| URI: | https://publications.ut-capitole.fr/id/eprint/29132 |
