Publication:
Feature selection using neural networks with contribution measures
Feature selection using neural networks with contribution measures
dc.contributor.author | Milne, Linda | en_US |
dc.date.accessioned | 2021-11-25T12:46:42Z | |
dc.date.available | 2021-11-25T12:46:42Z | |
dc.date.issued | 1995 | en_US |
dc.description.abstract | There still seems to be a misapprehension that neural networks are capable of dealing with large amounts of noise and useless data. This is true to a certain extent but it is also true that the cleaner and more descriptive the data is the better the neural networks will perform, especially when dealing with small data sets. A method for determining how useful input features are in giving correct classifcations using neural networks is discussed here. | en_US |
dc.description.uri | http://www.cs.adfa.edu.au/~rim/AI95/orig.html | en_US |
dc.identifier.uri | http://hdl.handle.net/1959.4/37628 | |
dc.language | English | |
dc.language.iso | EN | en_US |
dc.rights | CC BY-NC-ND 3.0 | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/au/ | en_US |
dc.source | Legacy MARC | en_US |
dc.subject.other | contribution analysis | en_US |
dc.subject.other | neural network | en_US |
dc.subject.other | attribute selection | en_US |
dc.subject.other | noisy data | en_US |
dc.subject.other | irrelevant data | en_US |
dc.subject.other | small datasets | en_US |
dc.subject.other | Neural Networks, Genetic Algorithms and Fuzzy Logic (280212) | en_US |
dc.title | Feature selection using neural networks with contribution measures | en_US |
dc.type | Conference Paper | en |
dcterms.accessRights | open access | |
dspace.entity.type | Publication | en_US |
unsw.accessRights.uri | https://purl.org/coar/access_right/c_abf2 | |
unsw.identifier.doi | https://doi.org/10.26190/unsworks/378 | |
unsw.relation.faculty | Engineering | |
unsw.relation.ispartofconferenceLocation | Canberra, Australia | en_US |
unsw.relation.ispartofconferenceName | Eighth Australian Joint Conference on Artificial Intelligence, AI’95 | en_US |
unsw.relation.ispartofconferenceYear | 1995 | en_US |
unsw.relation.originalPublicationAffiliation | Milne, Linda, Computer Science & Engineering, Faculty of Engineering, UNSW | en_US |
unsw.relation.school | School of Computer Science and Engineering | * |
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