An Information-Theoretic Framework for Unifying Active Learning Problems
Name
17102-Article Text-20596-1-2-20210518.pdf
Description
Published version
Size
330.44 KB
Format
Adobe PDF
Checksum (MD5)
46322197ab2c6acc8ece30ff73d6f231
Author(s)
Nguyen, Quoc Phong
Low, Bryan Kian Hsiang
Jaillet, Patrick
Intelligence, Assoc Advancement Artificial
Date Issued
2021
Journal
THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
Citation
Nguyen, Quoc Phong, Low, Bryan Kian Hsiang, Jaillet, Patrick and Intelligence, Assoc Advancement Artificial. 2021. "An Information-Theoretic Framework for Unifying Active Learning Problems." THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 35.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://aaai.org/Library/AAAI/aaai21contents.php
