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Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/68344
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dc.contributor.authorThongchai Dumrongpokaphanen_US
dc.contributor.authorOlga Koshelevaen_US
dc.contributor.authorVladik Kreinovichen_US
dc.contributor.authorAleksandra Belinaen_US
dc.date.accessioned2020-04-02T15:25:17Z-
dc.date.available2020-04-02T15:25:17Z-
dc.date.issued2020-01-01en_US
dc.identifier.issn18609503en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85080891217en_US
dc.identifier.other10.1007/978-3-030-31041-7_26en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080891217&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/68344-
dc.description.abstract© Springer Nature Switzerland AG 2020. In many situations, a solution to a practical problem is sparse, i.e., corresponds to the case when most of the parameters describing the solution are zeros, and only a few attain non-zero values. This surprising empirical phenomenon helps solve the corresponding problems—but it remains unclear why this phenomenon happens. In this paper, we provide a possible theoretical explanation for this mysterious phenomenon.en_US
dc.subjectComputer Scienceen_US
dc.titleWhy Sparse?en_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume835en_US
article.stream.affiliationsSilesian University of Technologyen_US
article.stream.affiliationsThe University of Texas at El Pasoen_US
article.stream.affiliationsChiang Mai Universityen_US
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