Open Access Open Access  Restricted Access Subscription or Fee Access

Feature Confidence Guiding Incremental Learning Algorithm of Bayesian Network

Songhao Jia, Cai Yang


Current Bayesian Network incremental learning methods can not be dynamic tracking of user needs, and its performance is not high. As a result, reliability of the Bayesian network can not be guaranteed. In order to solve the problem, this paper introduces the guarding of feature confidence to incremental learning, and puts forward the feature confidence guiding incremental learning algorithm of Bayesian Network (FCG-IBN). The algorithm is proposed to improve the learning method of Bayesian Network, enhance each batch data the precision of the study, and improve the quality of the final network model. The result of the experiments indicates that the combination of FCG-IBN can learn better accurate network from datasets. The application results have proved that it is worth promoting the use.


Bayesian Network, feature confidence, incremental learning, feedback information.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.