發表時間:2021-01-07 閱讀次數:423次
報告題目: Solving Nonconvex Support Vector Machines by Alternating Direction Multiplier Methods
報 告 人:葉頎 教授
報告人所在單位:華南師范大學數學科學學院
報告日期:2021-01-07 星期四
報告時間:15:30-16:30
報告地點:騰訊會議ID: 282221315, 密碼: 010203
  
報告摘要:
In this talk, we first present the generalized representer theorem in Banach spaces for generalized data. Based on the generalized representer theorem, we solve the nonconvex support vector machines in reproducing kernel Hilbert spaces by alternating direction multiplier methods. Next, we use the Kurdyka-Lojasiewicz inequality to prove the global convergence of the iterative solutions given by the nonconvex loss functions. Finally, we show the numerical examples of the simulated data and the real data.
  
本年度學院報告總序號:11

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