数学
二项式(多项式)
猜想
选择(遗传算法)
索贝尔算子
上下界
组合数学
离散数学
统计
应用数学
人工智能
计算机科学
图像(数学)
图像处理
数学分析
边缘检测
作者
Cheng‐Shiun Leu,Bruce Levin
标识
DOI:10.1080/07474940801989079
摘要
Abstract We state a general formula that provides a lower bound for the probability of various types of acceptable subset selection with the Levin–Robbins–Leu binomial subset selection procedure without elimination or recruitment. We prove the truth of a conjecture of Bechhofer, Kiefer, and Sobel for this procedure by applying the general lower bound. We also introduce a simple modification that allows sequential elimination of inferior populations and recruitment of superior populations. Numerical evidence indicates that the new procedure also obeys the general lower bound while reducing the expected number of observations and failures compared with nonadaptive methods.
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