Study Results from Sichuan University Broaden Understanding of Computational Int elligence (Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms)

Robotics & Machine Learning Daily News2024，Issue(Apr.30) ：30-30.

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Study Results from Sichuan University Broaden Understanding of Computational Int elligence (Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing - Computational Intelligence. Accordingto news reporting originating in Che ngdu, People’s Republic of China, by NewsRx journalists, researchstated, “Evolu tionary computation-based neural architecture search (ENAS) is a popular techniq ue forautomating architecture design of deep neural networks. Despite its groun dbreaking applications, there isno theoretical study for ENAS.”

Key words

Chengdu/People’s Republic of China/Asi a/Computational Intelligence/Algorithms/Emerging Technologies/Evolutionary C omputation/Machine Learning/Search Algorithms/Sichuan University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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