Research and Implementation of Colour Optimal Matching Model for Art Design Based on Bayesian Decision-Making

Table 1

Pseudocode of Bayesian decision theory for feature selection algorithm.

Input	The sample set S, the label value Y corresponding to the sample, feature set F
Output	New feature set
1	Function Bayes risk (S, F)
2	Obtain the corresponding metric matrix M for a given feature set
3	For each
4	Calculate R(i) = input(i) (1 a P(C) | ai)
5	End for
6
7
8	End function