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Recent Advances and Applications of Probabilistic Topic Models

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dc.contributor.authorWood, Ian
dc.coverage.spatialCanberra, Australia
dc.date.accessioned2015-12-10T23:25:16Z
dc.date.created15-20 December 2013
dc.date.issued2014
dc.date.updated2015-12-10T10:54:29Z
dc.identifier.isbn9780735412750
dc.identifier.urihttp://hdl.handle.net/1885/67558
dc.publisherAIP Publishing LLC
dc.relation.ispartofseries33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013)
dc.sourceBAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013)
dc.source.urihttp://scitation.aip.org/content/aip/proceeding/aipcp/1636
dc.titleRecent Advances and Applications of Probabilistic Topic Models
dc.typeConference paper
local.bibliographicCitation.lastpage130
local.bibliographicCitation.startpage124
local.contributor.affiliationWood, Ian, College of Engineering and Computer Science, ANU
local.contributor.authoruidWood, Ian, u3754001
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080603 - Conceptual Modelling
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1476
local.identifier.doi10.1063/1.4903721
local.type.statusPublished Version

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