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http://hdl.handle.net/1942/21269
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DC Field | Value | Language |
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dc.contributor.author | Chakroun, Imen | - |
dc.contributor.author | HABER, Tom | - |
dc.contributor.author | Vander Aa, Tom | - |
dc.contributor.author | KOVAC, Thomas | - |
dc.date.accessioned | 2016-05-24T12:05:42Z | - |
dc.date.available | 2016-05-24T12:05:42Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), p. 119-126 | - |
dc.identifier.isbn | 9781467387750 | - |
dc.identifier.issn | 1066-6192 | - |
dc.identifier.uri | http://hdl.handle.net/1942/21269 | - |
dc.description.abstract | Using the matrix factorization technique in machine learning is very common mainly in areas like recommender systems. Despite its high prediction accuracy and its ability to avoid over-fitting of the data, the Bayesian Probabilistic Matrix Factorization algorithm (BPMF) has not been widely used because of the prohibitive cost. In this paper, we propose a comprehensive parallel implementation of the BPMF using Gibbs sampling on shared and distributed architectures. We also propose an insight of a GPU-based implementation of this algorithm. | - |
dc.language.iso | en | - |
dc.publisher | IEEE Computer Society | - |
dc.relation.ispartofseries | Euromicro International Conference | - |
dc.subject.other | collaborative filtering; machine learning; PGAS; probabilistic matrix factorization algorithm; multicore | - |
dc.title | Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 17-19 February 2016 | - |
local.bibliographicCitation.conferencename | 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) | - |
local.bibliographicCitation.conferenceplace | Heraklion | - |
dc.identifier.epage | 126 | - |
dc.identifier.spage | 119 | - |
local.bibliographicCitation.jcat | C1 | - |
dc.description.notes | Chakroun, I (reprint author), IMEC, ExaSci Life Lab, Leuven, Belgium. | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 24 | - |
dc.identifier.doi | 10.1109/PDP.2016.48 | - |
dc.identifier.isi | 000381810900015 | - |
local.bibliographicCitation.btitle | 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) | - |
item.fullcitation | Chakroun, Imen; HABER, Tom; Vander Aa, Tom & KOVAC, Thomas (2016) Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization. In: 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), p. 119-126. | - |
item.fulltext | No Fulltext | - |
item.validation | ecoom 2017 | - |
item.contributor | Chakroun, Imen | - |
item.contributor | HABER, Tom | - |
item.contributor | Vander Aa, Tom | - |
item.contributor | KOVAC, Thomas | - |
item.accessRights | Closed Access | - |
Appears in Collections: | Research publications |
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