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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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Item Name:
blogs.getty_.edu-predicting-the-past-digital-art-history-modeling-and-machine-learning.pdf
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