Casa Batlo is in Passeig de Gracia or landmarking the expertise space

Hilan Bensusan, Christophe Giraud-Carrier

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Task description is crucial not only to every meta-learning enterprise but also to related endeavours like transfer of learning. This paper evaluates the performance of a newly introduced method of task description, landmarking, in a supervised meta-learning scenario. The method relies on correlations between simple and more sophisticated learning algorithms to select the best learner for a task. The results compare favourably with an information-based method and suggest that landmarking holds promise.
Translated title of the contributionCasa Batlo is in Passeig de Gracia or landmarking the expertise space
Original languageEnglish
Title of host publicationProceedings of the ECML'2000 workshop on Meta-Learning: Building Automatic Advice Strategies for Model Selection and Method Combination
PublisherECML'2000
Pages29 - 47
Number of pages18
Publication statusPublished - 2000

Bibliographical note

Other page information: 29-47
Conference Proceedings/Title of Journal: Proceedings of the ECML'2000 workshop on Meta-Learning: Building Automatic Advice Strategies for Model Selection and Method Combination
Other identifier: 1000470

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    Bensusan, H., & Giraud-Carrier, C. (2000). Casa Batlo is in Passeig de Gracia or landmarking the expertise space. In Proceedings of the ECML'2000 workshop on Meta-Learning: Building Automatic Advice Strategies for Model Selection and Method Combination (pp. 29 - 47). ECML'2000. http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=1000470