https://scholars.lib.ntu.edu.tw/handle/123456789/580976
標題: | Circuit learning for logic regression on high dimensional boolean space | 作者: | Chen P.-W Huang Y.-C Lee C.-L JIE-HONG JIANG |
關鍵字: | Boolean algebra; Computer aided design; Decision trees; Logic circuits; Timing circuits; Boolean model; High-dimensional; Input-output pattern; Prediction accuracy; Problem-based; Reasoning procedures; Regression problem; Template-based; Computer circuits | 公開日期: | 2020 | 卷: | 2020-July | 來源出版物: | Proceedings - Design Automation Conference | 摘要: | Logic regression aims to find a Boolean model involving binary covariates that predicts the response of an unknown system. It has many important applications, e.g., in data analysis and system design. In the 2019 ICCAD CAD Contest, the challenge of learning a compact circuit representing a black-box input-output pattern generator in a high dimensional Boolean space is formulated as the logic regression problem. This paper presents our winning approach to the problem based on a decision-tree reasoning procedure assisted with a template based preprocessing. Our methods outperformed other contestants in the competition in both prediction accuracy and circuit size. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093958340&doi=10.1109%2fDAC18072.2020.9218510&partnerID=40&md5=9360c8efc577b8ca7f0cea411f013986 https://scholars.lib.ntu.edu.tw/handle/123456789/580976 |
ISSN: | 0738100X | DOI: | 10.1109/DAC18072.2020.9218510 |
顯示於: | 電機工程學系 |
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