首页|Reports Outline Machine Learning Study Results from Guangxi University (Biased S tochastic Conjugate Gradient Algorithm With Adaptive Step Size for Nonconvex Pro blems)
Reports Outline Machine Learning Study Results from Guangxi University (Biased S tochastic Conjugate Gradient Algorithm With Adaptive Step Size for Nonconvex Pro blems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news reporting from Guangxi, People’s Republic of China, by Ne wsRx journalists, research stated, “Conjugate gradient (CG) algorithms are widel y applied to machine learning problems owing to their low calculation cost compa red with second-order methods and better convergence properties relative to grad ient descent methods. This study proposes a biased stochastic conjugate gradient (BSCG) algorithm with an adaptive step size.”
GuangxiPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningGuangxi Univers ity
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