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Reviewing data access patterns and computational redundancy for machine learning algorithms

dc.contributor.authorChakroun, Imen
dc.contributor.authorVander Aa, Tom
dc.contributor.authorAshby, Tom
dc.date.accessioned2021-10-27T07:56:22Z
dc.date.available2021-10-27T07:56:22Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32678
dc.sourceIIOimport
dc.titleReviewing data access patterns and computational redundancy for machine learning algorithms
dc.typeProceedings paper
dc.contributor.imecauthorChakroun, Imen
dc.contributor.imecauthorVander Aa, Tom
dc.contributor.imecauthorAshby, Tom
dc.contributor.orcidimecVander Aa, Tom::0000-0002-1504-5266
dc.source.peerreviewyes
dc.source.beginpage31
dc.source.endpage38
dc.source.conference4th International Conference on Big Data Analytics, Data Mining and Computational Intelligence
dc.source.conferencedate16/07/2019
dc.source.conferencelocationPorto Portugal
dc.identifier.urlhttp://www.iadisportal.org/digital-library/reviewing-data-access-patterns-and-computational-redundancy-for-machine-learning-algorithms
imec.availabilityPublished - imec


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