Circuit Learning: From Decision Trees to Decision Graphs

Circuit learning has gained significant attention due to machine learning advancements and approximate synthesis applications. The task is to learn a circuit to model an unknown Boolean function subject to different design constraints. When circuit size is hard-constrained, decision-tree-based learn...

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Bibliographic Details

Published in:	IEEE transactions on computer-aided design of integrated circuits and systems Vol. 42; no. 11; p. 1
Main Authors:	Huang, Yu-Shan, Jiang, Jie-Hong R.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Boolean functions Circuit design Constraints Decision trees Integrated circuit modeling Machine learning Merging Predictive models Task analysis Training
ISSN:	0278-0070, 1937-4151
Online Access:	Get full text
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