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Parallel Regularized Multiple-criteria Linear Programming
dc.contributor.author | Qi, Zhinquan |
dc.contributor.author | Alexandrov, Vassil |
dc.contributor.author | Shi, Yong |
dc.contributor.author | Tian, Yingjie |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2016-05-12T13:19:03Z |
dc.date.available | 2016-05-12T13:19:03Z |
dc.date.issued | 2014 |
dc.identifier.citation | Qi, Zhinquan [et al.]. Parallel Regularized Multiple-criteria Linear Programming. "Procedia Computer Science", 2014, vol. 31, p. 58-65. |
dc.identifier.issn | 1877-0509 |
dc.identifier.uri | http://hdl.handle.net/2117/87017 |
dc.description.abstract | In this paper, we proposed a new parallel algorithm: Parallel Regularized Multiple-Criteria Linear Programming (PRMCLP) to overcome the computing and storage requirements increased rapidly with the number of training samples. Firstly, we convert RMCLP model into a unconstrained optimization problem, and then split it into several parts, and each part is computed by a single processor. After that, we analyze each part's result for next cycle going. By doing this, we are be able to obtain the final optimization solution of the whole classification problem. All experiments in public datasets show that our method greatly increases the training speed of RMCLP in the help of multiple processors. |
dc.description.sponsorship | This work has been partially supported by China Postdoctoral Science Foundation under Grant No.2013M530702, and grants from National Natural Science Foundation of China(NO.11271361), key project of National Natural Science Foundation of China(NO.71331005), Major International (Regional) Joint Research Project(NO.71110107026), and the Ministry of water resources’ special funds for scientific research on public causes (No. 201301094). |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivs 4.0 International License |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject.lcsh | Parallel algorithms |
dc.subject.lcsh | Linear programming |
dc.subject.other | PRMCLP |
dc.subject.other | Parallel algorithm |
dc.subject.other | Data mining |
dc.title | Parallel Regularized Multiple-criteria Linear Programming |
dc.type | Article |
dc.subject.lemac | Algorismes paral·lels |
dc.identifier.doi | 10.1016/j.procs.2014.05.245 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S1877050914004220 |
dc.rights.access | Open Access |
dc.description.version | Postprint (published version) |
local.citation.contributor | 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 |
local.citation.publicationName | Procedia Computer Science |
local.citation.volume | 31 |
local.citation.startingPage | 58 |
local.citation.endingPage | 65 |
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