IEEE Transactions on Pattern Analysis and Machine Intelligence
Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms
Statistics and Computing
Towards a More Efficient Evolutionary Induction of Bayesian Networks
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Analyzing Directed Acyclic Graph Recombination
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
The Search of Causal Orderings: A Short Cut for Learning Belief Networks
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Stochastic algorithms for searching causal orderings in Bayesian networks
Technologies for constructing intelligent systems
On inclusion-driven learning of bayesian networks
The Journal of Machine Learning Research
Exact Bayesian Structure Discovery in Bayesian Networks
The Journal of Machine Learning Research
Information Sciences—Informatics and Computer Science: An International Journal
Normative selection of Bayesian networks
Journal of Multivariate Analysis
Mobile robot localization using active sensing based on Bayesian network inference
Robotics and Autonomous Systems
A New Singly Connected Network Classifier based on Mutual Information
Intelligent Data Analysis
The Journal of Machine Learning Research
Bayesian network learning algorithms using structural restrictions
International Journal of Approximate Reasoning
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
A chain-model genetic algorithm for Bayesian network structure learning
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Constructing Bayesian networks for criminal profiling from limited data
Knowledge-Based Systems
Labeling of Human Motion by Constraint-Based Genetic Algorithm
Computational Intelligence and Security
UNSUPERVISED ANOMALY DETECTION IN LARGE DATABASES USING BAYESIAN NETWORKS
Applied Artificial Intelligence
Structure Learning of Bayesian Networks Using Dual Genetic Algorithm
IEICE - Transactions on Information and Systems
Journal of Artificial Intelligence Research
Expert Systems with Applications: An International Journal
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Building a GA from design principles for learning Bayesian networks
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
A cooperative coevolutionary genetic algorithm for learning bayesian network structures
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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
Combinatorial optimization by learning and simulation of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Evolutionary attribute ordering in Bayesian networks for predicting the metabolic syndrome
Expert Systems with Applications: An International Journal
An ontology-based approach for constructing Bayesian networks
Data & Knowledge Engineering
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
An immune partheno-genetic algorithm for winner determination in combinatorial auctions
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Robust inference of bayesian networks using speciated evolution and ensemble
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Multimedia Tools and Applications
Competing mutating agents for bayesian network structure learning
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
A memetic approach to bayesian network structure learning
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
An efficient node ordering method using the conditional frequency for the K2 algorithm
Pattern Recognition Letters
Learning optimal bayesian networks: a shortest path perspective
Journal of Artificial Intelligence Research
Hi-index | 0.00 |
Presents a new methodology for inducing Bayesian network structures from a database of cases. The methodology is based on searching for the best ordering of the system variables by means of genetic algorithms. Since this problem of finding an optimal ordering of variables resembles the traveling salesman problem, the authors use genetic operators that were developed for the latter problem. The quality of a variable ordering is evaluated with the structure-learning algorithm K2. The authors present empirical results that were obtained with a simulation of the ALARM network