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Predicting the Past: Digital Art History, Modeling, and Machine Learning
- Author(s):
- Matthew Lincoln (see profile)
- Date:
- 2017
- Group(s):
- Digital Art History, Digital Humanists, History of Art
- Subject(s):
- Art, History, Patron and client, Research, Digital humanities
- Item Type:
- Blog Post
- Tag(s):
- Art history, Collecting/patronage studies, Digital history
- Permanent URL:
- http://dx.doi.org/10.17613/M6778R
- Abstract:
- Case study from the Getty’s digital art history team shows how modeling and machine learning are shedding light on the history of the art market.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 6 years ago
- License:
- All Rights Reserved
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