首页|Studies from Shenzhen University Yield New Data on Machine Learning (Machine Lea rning-based Causal Inference for Evaluating Intervention In Travel Behaviour Res earch: a Difference-indifferences Framework)
Studies from Shenzhen University Yield New Data on Machine Learning (Machine Lea rning-based Causal Inference for Evaluating Intervention In Travel Behaviour Res earch: a Difference-indifferences Framework)
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Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Shenzhen, Peo ple's Republic of China, by NewsRx journalists, research stated, "Causal inferen ce with the difference-in-differences (DID) framework is popular in identifying causal effects with observational data and has started to be applied in recent t ravel behaviour studies. Most relevant transportation research adopts the conven tional linear parametric DID model, which is known to be inflexible and restrict ive." Funders for this research include National Natural Science Foundation of China ( NSFC), Guangdong Basic and Applied Basic Research Foundation, Key Project of Nat ural Science Foundation of Shenzhen, Key Technology Project of the Commission of Science and Technology of Shenzhen, Tencent-Rhino Bird Fund, Hong Kong Research Grants Council.
ShenzhenPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShenzhen University
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