Ordyniak, S. orcid.org/0000-0003-1935-651X, Paesani, G., Rychlicki, M. et al. (1 more author) (Accepted: 2023) A General Theoretical Framework for Learning Smallest Interpretable Models. In: Proceedings of the AAAI Conference on Artificial Intelligence. Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 20-27 Feb 2024, Vancouver, Canada. AAAI Press . (In Press)
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Item Type: | Proceedings Paper | ||||
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Copyright, Publisher and Additional Information: | © 2024, Association for the Advancement of Artificial Intelligence (www.aaai.org). This is an author produced version of a conference paper accepted for publication in Proceedings of the AAAI Conference on Artificial Intelligence. Uploaded in accordance with the publisher's self-archiving policy. |
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Institution: | The University of Leeds | ||||
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) | ||||
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Depositing User: | Symplectic Publications | ||||
Date Deposited: | 19 Jan 2024 14:05 | ||||
Last Modified: | 16 Apr 2024 14:20 | ||||
Status: | In Press | ||||
Publisher: | AAAI Press |