Can machine-learning algorithms replace conventional statistics?

被引：11
|
作者：
Hung, Andrew J. [1 ]
机构：
[1] Univ Southern Calif, Inst Urol, Ctr Robot Simulat & Educ, Catherine & Joseph Aresty Dept Urol, Los Angeles, CA 90033 USA
来源：
BJU INTERNATIONAL | 2019年 / 123卷 / 01期
关键词：
D O I：
10.1111/bju.14542
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：1 / 1
页数：1
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