Statistical analysis with missing data
Statistical analysis with missing data
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Communications of the ACM
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decision support for real-time telemarketing operations through Bayesian network learning
Decision Support Systems - Special issue: knowledge discovery and its applications to business decision making
Machine Learning - Special issue on learning with probabilistic representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering
Pattern Recognition Letters
Robust Learning with Missing Data
Machine Learning
Data Mining, Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
Data Mining, Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction
Machine Learning - Special issue: Unsupervised learning
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Towards a More Efficient Evolutionary Induction of Bayesian Networks
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
Imputation of Missing Values in DNA Microarray Gene Expression Data
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Data mining of Bayesian networks using cooperative coevolution
Decision Support Systems
Stochastic ordering and robustness in classification from a Bayesian network
Decision Support Systems
A Bayesian belief network for IT implementation decision support
Decision Support Systems
Missing values prediction with K2
Intelligent Data Analysis
MUNIN: a causal probabilistic network for interpretation of electromyographic findings
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Inferring informational goals from free-text queries: a Bayesian approach
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
IEEE Transactions on Evolutionary Computation
Learning Bayesian network structures by searching for the best ordering with genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Diagnose the mild cognitive impairment by constructing Bayesian network with missing data
Expert Systems with Applications: An International Journal
Artificial Intelligence Review
Grammar-guided evolutionary construction of bayesian networks
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Learning Bayesian network classifiers from label proportions
Pattern Recognition
A Multi-Objective Evolutionary Algorithm for enhancing Bayesian Networks hybrid-based modeling
Computers & Mathematics with Applications
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This paper proposes a novel method for learning Bayesian networks from incomplete databases in the presence of missing values, which combines an evolutionary algorithm with the traditional Expectation Maximization (EM) algorithm. A data completing procedure is presented for learning and evaluating the candidate networks. Moreover, a strategy is introduced to obtain better initial networks to facilitate the method. The new method can also overcome the problem of getting stuck in sub-optimal solutions which occurs in most existing learning algorithms. The experimental results on the databases generated from several benchmark networks illustrate that the new method has better performance than some state-of-the-art algorithms. We also apply the method to a data mining problem and compare the performance of the discovered Bayesian networks with the models generated by other learning algorithms. The results demonstrate that our method outperforms other algorithms.