首页|Study Results from Stanford University in the Area of Machine Learning Reported (Promise: Preconditioned Stochastic Optimization Methods By Incorporating Scalab le Curvature Estimates)
Study Results from Stanford University in the Area of Machine Learning Reported (Promise: Preconditioned Stochastic Optimization Methods By Incorporating Scalab le Curvature Estimates)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Stanford, Cali fornia, by NewsRx editors, research stated, “Ill-conditioned problemsare ubiqui tous in large-scale machine learning: as a data set grows to include more and mo re featurescorrelated with the labels, the condition number increases. Yet trad itional stochastic gradient methodsconverge slowly on these ill-conditioned pro blems, even with careful hyperparameter tuning.”
StanfordCaliforniaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningStocha stic OptimizationStanford University
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