资 源 简 介
Bayesian networks is one of the most promising tools for medical, economical and wether forecast. Variaty of training algorithms for bayesian networks avaliable. The aim of this project is to create collection of data preprocessing procedures like variable decorrelation, normalisation and gaussianisation which may be easely used as prestage before traing and application of bayesian networks.
