首页|Study Results from Sichuan University Broaden Understanding of Computational Int elligence (Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms)
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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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.”
ChengduPeople’s Republic of ChinaAsi aComputational IntelligenceAlgorithmsEmerging TechnologiesEvolutionary C omputationMachine LearningSearch AlgorithmsSichuan University
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