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Statistical Machine Learning Theory and Methods for High-Dimensional Low Sample Size (HDLSS) Problems

机译：统计机器学习理论与用于高尺寸低样本大小（HDLS）问题的方法

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作者
Yang, Kaixu.;
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作者单位

Michigan State University.;

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授予单位 Michigan State University.;
学科
学位 Ph.D.
年度 2020
页码 258 p.
总页数 258
原文格式 PDF
正文语种 eng
中图分类 AAI28002257;
关键词
Algorithm; Asymptotic property; Deep learning; High-dimensional; Non-parametric; Variable selection;

机译：算法;渐近财产;深度学习;高维;非参数;变量选择;
入库时间 2022-08-17 12:02:26

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Statistical Machine Learning Theory and Methods for High-Dimensional Low Sample Size (HDLSS) Problems

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