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A Feature Space Focus in Machine Teaching
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0001-5676-1931
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0003-0998-6585
Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0001-8836-7373
2020 (English)In: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020Conference paper, Published paper (Refereed)
Abstract [en]

Contemporary Machine Learning (ML) often focuseson large existing and labeled datasets and metrics aroundaccuracy and performance. In pervasive online systems, conditionschange constantly and there is a need for systems thatcan adapt. In Machine Teaching (MT) a human domain expertis responsible for the knowledge transfer and can thus addressthis. In my work, I focus on domain experts and the importanceof, for the ML system, available features and the space they span.This space confines the, to the ML systems, observable fragmentof the physical world. My investigation of the feature space isgrounded in a conducted study and related theories. The resultof this work is applicable when designing systems where domainexperts have a key role as teachers.

Place, publisher, year, edition, pages
2020.
Keywords [en]
Machine learning, Machine Teaching, Human in the loop
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mau:diva-17165DOI: 10.1109/PerComWorkshops48775.2020.9156175ISI: 000612838200082Scopus ID: 2-s2.0-85091981537ISBN: 978-1-7281-4716-1 (electronic)ISBN: 978-1-7281-4717-8 (print)OAI: oai:DiVA.org:mau-17165DiVA, id: diva2:1428195
Conference
PerCom 2020 PhD forum. March 23-27, 2020. Austin, Texas, USA.
Available from: 2020-05-05 Created: 2020-05-05 Last updated: 2024-02-05Bibliographically approved

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Holmberg, LarsDavidsson, PaulLinde, Per

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