Multilabel Active Learning for User Context Recognition In-the-Wild.

Simple item page
dc.contributor.advisorMunindar Singh, Chair
dc.contributor.advisorXipeng Shen, Member
dc.contributor.advisorRuozhou Yu, Member
dc.contributor.advisorDr. Pradeep Kumar Murukannaiah, External
dc.contributor.authorBalraj, Bhavana
dc.date.accepted2021-06-08
dc.date.accessioned2021-06-09T12:30:28Z
dc.date.available2021-06-09T12:30:28Z
dc.date.defense2021-04-22
dc.date.issued2021-04-22
dc.date.released2021-06-09
dc.date.reviewed2021-04-26
dc.date.submitted2021-04-24
dc.degree.disciplineComputer Science
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatM.S. North Carolina State University, 2021.
dc.identifier.otherdeg25242
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38858
dc.titleMultilabel Active Learning for User Context Recognition In-the-Wild.
dcterms.extent1 online resource (viii, 49 pages) : illustrations

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
963.64 KB
Format:
Adobe Portable Document Format
Download

Collections

Theses