New Machine Learning Data Have Been Reported by Researchers at University of Cal ifornia Los Angeles (UCLA) (Learning Unboundeddomain Spatiotemporal Differentia l Equations Using Adaptive Spectral Methods)
New Machine Learning Data Have Been Reported by Researchers at University of Cal ifornia Los Angeles (UCLA) (Learning Unboundeddomain Spatiotemporal Differentia l Equations Using Adaptive Spectral Methods)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Los Angeles, California, by NewsRx correspondents, research stated, “Rapidly developing machine learning me thods have stimulated research interest in computationally reconstructing differ ential equations (DEs) from observational data, providing insight into the under lying mechanistic models. In this paper, we propose a new neural-ODE-based metho d that spectrally expands the spatial dependence of solutions to learn the spati otemporal DEs they obey.” Financial support for this research came from Army Research Office.
Key words
Los Angeles/California/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Uni versity of California Los Angeles (UCLA)
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