A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data 1st Edition by Feng Liu, Fengzhan Tian, Qiliang Zhu 9783540738701

A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data 1st Edition by Feng Liu, Fengzhan Tian, Qiliang Zhu – Ebook PDF Instant Download/Delivery. 9783540738701

Full download A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data 1st Edition after payment

Product details:

ISBN 13: 9783540738701

Author: Feng Liu, Fengzhan Tian; Qiliang Zhu

Existing algorithms for learning Bayesian network (BN) require a lot of computation on high dimensional itemsets, which affects accuracy especially on limited datasets and takes up a large amount of time. To alleviate the above problem, we propose a novel BN learning algorithm MRMRG, Max Relevance and Min Redundancy Greedy algorithm. MRMRG algorithm is a variant of K2 algorithm for learning BNs from limited datasets. MRMRG algorithm applies Max Relevance and Min Redundancy feature selection technique and proposes Local Bayesian Increment (LBI) function according to the Bayesian Information Criterion (BIC) formula and the likelihood property of overfitting. Experimental results show that MRMRG algorithm has much better efficiency and accuracy than most of existing BN learning algorithms when learning BNs from limited datasets.

People also search for A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data 1st: 

a greedy algorithm

bayesian networks in r pdf

 a novel approach to non-linear and non-gaussian bayesian state estimation

a review of bayesian networks and structure learning