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  • 匿名
关注:1 2013-05-23 12:21

求翻译:考虑到SVM算法寻优可以成功解决非线性函数的逼近问题,但是SVM的参数选择大多数都是凭经验选取,是什么意思?

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考虑到SVM算法寻优可以成功解决非线性函数的逼近问题,但是SVM的参数选择大多数都是凭经验选取,
问题补充:

  • 匿名
2013-05-23 12:21:38
Taking into account the SVM algorithm can successfully solve the nonlinear optimization function approximation problem, but most of SVM parameters are selected empirically,
  • 匿名
2013-05-23 12:23:18
Taking into account the SVM search algorithm optimization can successfully resolve the non-linear function of the approaching issues SVM parameter selection, but most were selected according to experience.
  • 匿名
2013-05-23 12:24:58
Considered the SVM algorithm optimization may succeed the solution nonlinear function approximation problem, but the SVM parameter chooses majority all is depends on the experience to select,
  • 匿名
2013-05-23 12:26:38
Taking into account the SVM algorithm optimization can successfully solve non-linear approximation of a function, but SVM parameters selection of most is known by experience selecting,
  • 匿名
2013-05-23 12:28:18
Taking into account the SVM algorithm optimization can successfully solve non-linear approximation of a function, but SVM parameters selection of most is known by experience selecting,
 
 
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