Skip navigation
Skip navigation

Lightweight relevance filtering for machine-generated resolution

dc.contributor.authorMeng, Jia
dc.contributor.authorPaulson, Lawrence C.
dc.coverage.spatialSeattle USA
dc.date.accessioned2015-12-07T22:25:13Z
dc.date.createdAugust 22, 2006
dc.identifier.isbn1613-0073
dc.identifier.urihttp://hdl.handle.net/1885/21166
dc.publisherConference Organising Committee
dc.relation.ispartofseriesEmpirically Successful Computerized Reasoning (ESCoR 2006)
dc.sourceProceedings of the FLoC-06 Workshop on Empirically Successful Computerized Reasoning
dc.source.urihttp://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-192
dc.titleLightweight relevance filtering for machine-generated resolution
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2006
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB15
local.type.statusPublished Version
local.contributor.affiliationMeng, Jia, College of Engineering and Computer Science, ANU
local.contributor.affiliationPaulson, Lawrence C., University of Cambridge
local.description.embargo2037-12-31
local.bibliographicCitation.startpage53
local.bibliographicCitation.lastpage69
dc.date.updated2015-12-07T09:33:33Z
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Meng_Lightweight_relevance_2006.pdf413.62 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator