An algorithm of Bayesian Networks parameters learning based on confidence interval
Tilong Wang, Lihong Guo, Yan Li · 2010
This paper focuses on an interval parameter estimation of Bayesian Networks (BNs). Contrast to the point estimation used in most parameter learning algorithms, interval estimation algorithm (IEA) estimates the output nodes parameter of BNs with an interval estimation based on confidence level, it can raise BNs inference accuracy slightly as the prior knowledge is absence.