Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
A graphical characterization of lattice conditional independence models
Annals of Mathematics and Artificial Intelligence
The size distribution for Markov equivalence classes of acyclic digraph models
Artificial Intelligence
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
A Formalism for Building Causal Polytree Structures Using Data Distributions
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
A Structural Characterization of DAG-Isomorphic Dependency Models
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
A formal approach to using data distributions for building causal polytree structures
Information Sciences—Informatics and Computer Science: An International Journal
A New Singly Connected Network Classifier based on Mutual Information
Intelligent Data Analysis
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
Does non-correlation imply non-causation?
International Journal of Approximate Reasoning
Data-Driven Prediction of the Necessity of Help Requests in ILEs
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Impact of censoring on learning Bayesian networks in survival modelling
Artificial Intelligence in Medicine
A hybrid approach for learning Markov equivalence classes of Bayesian network
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Learning Bayesian networks from survival data using weighting censored instances
Journal of Biomedical Informatics
A causal discovery algorithm using multiple regressions
Pattern Recognition Letters
Environmental Modelling & Software
Acyclic directed graphs representing independence models
International Journal of Approximate Reasoning
A cooperative coevolutionary genetic algorithm for learning bayesian network structures
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Finding P-maps and I-maps to represent conditional independencies
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Functional dependency discovery via Bayes net analysis
MAMECTIS/NOLASC/CONTROL/WAMUS'11 Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control
Enumerating Markov equivalence classes of acyclic digraph dels
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A transformational characterization of equivalent Bayesian network structures
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Causal inference and causal explanation with background knowledge
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
An alternative Markov property for chain graphs
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On separation criterion and recovery algorithm for chain graphs
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
An algorithm for the construction of Bayesian network structures from data
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Deciding morality of graphs is NP-complete
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Knowledge-Based operations for graphical models in planning
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Detecting dependencies in an anonymized dataset
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory
Fundamenta Informaticae
An efficient node ordering method using the conditional frequency for the K2 algorithm
Pattern Recognition Letters
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