Discovering Test Statistics Using Genetic Programming

被引：2
|
作者：
Moore, Jason H. [1 ]
Olson, Randal S. [1 ]
Chen, Yong [1 ]
Sipper, Moshe [1 ,2 ]
机构：
[1] Univ Penn, Inst Biomed Informat, Philadelphia, PA 19104 USA
[2] Ben Gurion Univ Negev, Dept Comp Sci, Beer Sheva, Israel
来源：
PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION) | 2019年
基金：
美国国家卫生研究院;
关键词：
Genetic Programming; Statistics; Optimization; T-Test;
D O I：
10.1145/3319619.3326754
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
We describe a genetic programming-based system for the automated discovery of new test statistics. Specifically, our system was able to discover test statistics as powerful as the t-test for comparing sample means from two distributions with equal variances [1].
引用
收藏
页码：29 / 30
页数：2
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