首页|Findings from China University of Petroleum (East China) Broaden Understanding of Intelligent Systems (Spatial-temporal Episodic Memory Modeling for Adls: Encoding, Retrieval, and Prediction)
Findings from China University of Petroleum (East China) Broaden Understanding of Intelligent Systems (Spatial-temporal Episodic Memory Modeling for Adls: Encoding, Retrieval, and Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning - Intelligent Systems. Accordingto news reporting originating in Qingdao, People’s Republic of China, by NewsRx journalists, researchstated, “Activities of daily living (ADLs) relate to people’s daily self-care activities, which reflect theirliving habits and lifestyle. A prior study presented a neural network model called STADLART for ADLroutine learning.”
QingdaoPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningChina University of Petroleum (East China)
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