首页|Recent Findings in Machine Learning Described by Researchers from Fudan Universi ty (Enhancing Time Series Predictability Via Structure-aware Reservoir Computing )

Recent Findings in Machine Learning Described by Researchers from Fudan Universi ty (Enhancing Time Series Predictability Via Structure-aware Reservoir Computing )

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “Accurate prediction of the future evolution of observational time series is a paramount challenge in c urrent datadriven research. While existing techniques struggle to learn useful representations from the temporal correlations, the high dimensionality in spati al domain is always considered as obstacle, leading to the curse of dimensionali ty and excessive resource consumption.” Financial supporters for this research include National Natural Science Foundati on of China, Science and Technology Commission of Shanghai Municipality.

ShanghaiPeople's Republic of ChinaAs iaEmerging TechnologiesGranger CausalityMachine LearningFudan University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.3)