Idiot's Bayes - Not so stupid after all?

Idiot's Bayes - Not so stupid after all?
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DOI:
10.2307/1403452
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发表时间:
2001-12-01
影响因子:
2
通讯作者:
Yu, KM
Yu, KM
中科院分区:
数学3区
文献类型:
--
作者:
Hand, DJ;Yu, KM

文献摘要

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Follow认为,一个非常简单的监督分类规则,基于通常错误的假设,即预测变量是独立的,可以是非常有效的,而且往往比复杂的规则更有效。我们研究的证据,这两个经验,观察到在真实的数据应用,和理论,总结解释为什么这个简单的规则可能是有效的。
Folklore has it that a very simple supervised classification rule, based on the typically false assumption that the predictor variables are independent, can be highly effective, and often more effective than sophisticated rules. We examine the evidence for this, both empirical, as observed in real data applications, and theoretical, summarising explanations for why this simple rule might be effective.