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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Vydáno v:	IEEE transactions on computer-aided design of integrated circuits and systems Ročník 42; číslo 11; s. 1
Hlavní autoři:	Huang, Yu-Shan, Jiang, Jie-Hong R.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Boolean functions Circuit design Constraints Decision trees Integrated circuit modeling Machine learning Merging Predictive models Task analysis Training
ISSN:	0278-0070, 1937-4151
On-line přístup:	Získat plný text
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