Estimating the costs associated with worthwhile predictions of poor air quality

被引：0
|
作者：
Cawley, GC [1 ]
Dorling, SR [1 ]
Foxall, RJ [1 ]
Mandic, DP [1 ]
机构：
[1] Univ E Anglia, Sch Informat Syst, Norwich NR4 7TJ, Norfolk, England
来源：
ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study we investigate the effect of varying the ratio of false-positive and false-negative misclassification costs on the sensitivity and selectivity of binary predictions of exceedences of atmospheric pollutants. This allows us to determine a window of values for this ratio for which it is worthwhile making definite rather than probabilistic predictions. The support vector machine provides a suitable statistical pattern recognition method for this work.
引用
收藏
页码：485 / 488
页数：4
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