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dc.contributor.authorQasemiZadeh, Behrang
dc.date.accessioned2017-12-15T14:39:55Z
dc.date.available2017-12-15T14:39:55Z
dc.date.issued2015-05-17
dc.identifier.citationQasemizadeh, Behrang (2015). Random indexing revisited. Paper presented at the 20th International Conference on Applications of Natural Language to Information Systems, NLDB, Passau, Germany.en_IE
dc.identifier.isbn978-3-319-19581-0
dc.identifier.urihttp://hdl.handle.net/10379/7050
dc.description.abstractRandom indexing is a method for constructing vector spaces at a reduced dimensionality. Previously, the method has been proposed using Kanerva's sparse distributed memory model. Although intuitively plausible, this description fails to provide mathematical justification for setting the method's parameters. The random indexing method is revisited using the principles of sparse random projections in Euclidean spaces in order to complement its previous delineation.en_IE
dc.language.isoenen_IE
dc.publisherSpringeren_IE
dc.relation.ispartofNatural Language Processing and Information Systemsen
dc.subjectRandom Indexingen_IE
dc.subjectDimensionality Reduction Techniquesen_IE
dc.subjectRandom Projectionsen_IE
dc.subjectVector Space Modelsen_IE
dc.subjectText Miningen_IE
dc.titleRandom indexing revisiteden_IE
dc.typeConference Paperen_IE
dc.date.updated2015-06-06T11:12:03Z
dc.local.publishedsourcehttp://www.springer.com/gp/book/9783319195803en_IE
dc.description.peer-reviewedPeer reviewed
dc.contributor.funderScience Foundation Ireland
dc.internal.rssid8961402
dc.local.contactBehrang Qasemizadeh, Deri, Ida Business Park, Lower Dangan, Nui Galway. Email: behrang.qasemizadeh@deri.org
dc.local.copyrightcheckedYes I changed the formatting in order to make sure that there will be no problem to add the paper to the repo
dc.local.versionUPDATED
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