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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Veröffentlicht in:	IEEE transactions on computer-aided design of integrated circuits and systems Jg. 42; H. 11; S. 1
Hauptverfasser:	Huang, Yu-Shan, Jiang, Jie-Hong R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Boolean functions Circuit design Constraints Decision trees Integrated circuit modeling Machine learning Merging Predictive models Task analysis Training
ISSN:	0278-0070, 1937-4151
Online-Zugang:	Volltext
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