首页|Study Results from University of California Santa Barbara Provide New Insights i nto Support Vector Machines (Benign Overfitting In Multiclass Classification: Al l Roads Lead To Interpolation)
Study Results from University of California Santa Barbara Provide New Insights i nto Support Vector Machines (Benign Overfitting In Multiclass Classification: Al l Roads Lead To Interpolation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning - Suppo rt Vector Machines have been published.According to news originating from Santa Barbara, California, by NewsRx correspondents, research stated,“The literature on ‘benign overfitting’ in overparameterized models has been mostly restricted to regressionor binary classification; however, modern machine learning operate s in the multiclass setting. Motivatedby this discrepancy, we study benign over fitting in multiclass linear classification.”
Santa BarbaraCaliforniaUnited StatesNorth and Central AmericaAlgorithmsMachine LearningSupport Vector Machin esUniversity of California Santa Barbara
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