Mixed scale and its application in study of Bayesian network structure
Xiong Sheng-wu · Jisuanji gongcheng yu sheji · 2007
Because of the ability to solve indeterminate problems and do well in the causal reasoning,Bayesian network has been the primary technique for causal datum mining,and an important way to realize the estimation of distribution algorithms.When applying the Bayesian network technique on practical problems,the mixed scale numerals are used.Theorem about reciprocal transformation be-tween decimal numerals and mixed scale numerals is discussed in detail and the rigorous proof about this theory is given.The aim is that simple formulas in theorem is substituted for the former complicated transformation algorithms.