Dimensions of machine learning in design
Many of the design systems developed in recent years incorporate some machine learning. The number of such systems already available, and the multitude of design learning opportunities that are slowly being revealed, suggest that the time is ripe to attempt to put these developments into a systemati...
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Veröffentlicht in: | AI EDAM 1998-04, Vol.12 (2), p.117-121 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Many of the design systems developed in recent
years incorporate some machine learning. The number of
such systems already available, and the multitude of design
learning opportunities that are slowly being revealed,
suggest that the time is ripe to attempt to put these developments
into a systematic framework. Consequently, in this paper
we present a set of dimensions for machine learning in
design research. We hope that it can be used as a guide
for comparing existing work, and that it may suggest new
directions for future exploration in this area. |
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ISSN: | 0890-0604 1469-1760 |
DOI: | 10.1017/S0890060498122047 |