Show simple item record

dc.contributor.author Diao, Ren
dc.contributor.author Shen, Qiang
dc.date.accessioned 2010-07-27T14:11:58Z
dc.date.available 2010-07-27T14:11:58Z
dc.date.issued 2010-07-27
dc.identifier.citation Diao , R & Shen , Q 2010 , ' Two New Approaches to Feature Selection with Harmony Search ' pp. 3161-3167 . en
dc.identifier.other PURE: 159322
dc.identifier.other dspace: 2160/4872
dc.identifier.uri http://hdl.handle.net/2160/4872
dc.description R. Diao and Q. Shen. Two New Approaches to Feature Selection with Harmony Search. Proceedings of the 19th International Conference on Fuzzy Systems (FUZZ-IEEE'10), pp. 3161-3167, 2010. en
dc.description.abstract Many search strategies have been exploited in implementing feature selection, in an effort to identify smaller and better subsets. Such work typically involves the use of heuristics in one form or another. In this paper two novel methods are presented by applying harmony search to feature selection. In particular, it demonstrates the potential of utilising this search mechanism in combination with fuzzy-rough feature evaluation. The resulting techniques are compared with approaches that rely on hill-climbing, genetic algorithms and particle swarm optimisation. en
dc.format.extent 7 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Two New Approaches to Feature Selection with Harmony Search en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en


Files in this item

Aside from theses and in the absence of a specific licence document on an item page, all works in Cadair are accessible under the CC BY-NC-ND Licence. AU theses and dissertations held on Cadair are made available for the purposes of private study and non-commercial research and brief extracts may be reproduced under fair dealing for the purpose of criticism or review. If you have any queries in relation to the re-use of material on Cadair, contact is@aber.ac.uk.

This item appears in the following Collection(s)

Show simple item record

Search Cadair


Advanced Search

Browse

Statistics