首页|New Findings on Machine Learning from Peking University Summarized (Riemannian N atural Gradient Methods)
New Findings on Machine Learning from Peking University Summarized (Riemannian N atural Gradient Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated, “This pape r studies large-scale optimization problems on Riemannian manifolds whose object ive function is a finite sum of negative log-probability losses. Such problems a rise in various machine learning and signal processing applications.”
BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningPeking University
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