DADO – Low-Cost Query Strategies for Deep Active Design Optimization
Author:
Affiliation:
1. University of Kassel,Intelligent Embedded Systems,Kassel,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459339/10459727/10460047.pdf?arnumber=10460047
Reference18 articles.
1. Chasing Carbon: The Elusive Environmental Footprint of Computing
2. Deep learning to replace, improve, or aid CFD analysis in built environment applications: A review
3. Challenges of reliable, realistic and comparable active learning evaluation;Kottke,2017
4. Active Learning Query Strategies for Classification, Regression, and Clustering: A Survey
5. A Survey of Deep Active Learning
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