Bayes decision rule

Bayes decision rule

[′bāz di′sizh·ən ‚rül]
(statistics)
A decision rule under which the strategy chosen from among several available ones is the one for which the expected value of payoff is the greatest.
References in periodicals archive ?
As Bayes decision rule is defined by conditional probabilities, many classifiers first estimate the conditional probability [?
Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting.