On Compatible Priors for Bayesian Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
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
Constructing the Dependency Structure of a Multiagent Probabilistic Network
IEEE Transactions on Knowledge and Data Engineering
A Distributed Learning Algorithm for Bayesian Inference Networks
IEEE Transactions on Knowledge and Data Engineering
Efficient Score-Based Learning of Equivalence Classes of Bayesian Networks
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Seabreeze Prediction Using Bayesian Networks
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
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
Construction of a Non-redundant Cover for Conditional Independencies
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
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
Stochastic algorithms for searching causal orderings in Bayesian networks
Technologies for constructing intelligent systems
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
Optimal structure identification with greedy search
The Journal of Machine Learning Research
On inclusion-driven learning of bayesian networks
The Journal of Machine Learning Research
Learning probabilistic networks
The Knowledge Engineering Review
Probabilistic decision graphs-combining verification and AI techniques for probabilistic inference
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Characterization of essential graphs by means of the operation of legal merging of components
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Model Averaging for Prediction with Discrete Bayesian Networks
The Journal of Machine Learning Research
A formal approach to using data distributions for building causal polytree structures
Information Sciences—Informatics and Computer Science: An International Journal
Annals of Mathematics and Artificial Intelligence
Decomposition of search for v-structures in DAGs
Journal of Multivariate Analysis
New probabilistic graphical models for genetic regulatory networks studies
Journal of Biomedical Informatics
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
On the incompatibility of faithfulness and monotone DAG faithfulness
Artificial Intelligence
Minds and Machines
The Journal of Machine Learning Research
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
The Journal of Machine Learning Research
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
An application of formal argumentation: Fusing Bayesian networks in multi-agent systems
Artificial Intelligence
A heuristic algorithm for pattern-to-DAG conversion
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Detection of Unfaithfulness and Robust Causal Inference
Minds and Machines
Causal analysis for performance modeling of computer programs
Scientific Programming
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
A Recursive Method for Structural Learning of Directed Acyclic Graphs
The Journal of Machine Learning Research
International Journal of Approximate Reasoning
Adapting Bayes network structures to non-stationary domains
International Journal of Approximate Reasoning
Two Evolutionary Methods for Learning Bayesian Network Structures
Computational Intelligence and Security
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
ECML '07 Proceedings of the 18th European conference on Machine Learning
Parallell interacting MCMC for learning of topologies of graphical models
Data Mining and Knowledge Discovery
Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A reconstruction algorithm for the essential graph
International Journal of Approximate Reasoning
Causal Ambiguity, Complexity, and Capability-Based Advantage
Management Science
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
An Application of Formal Argumentation: Fusing Bayes Nets in MAS
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Possibilistic causal networks for handling interventions: a new propagation algorithm
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A study of causal discovery with weak links and small samples
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Journal of Artificial Intelligence Research
Directed constraint networks: a relational framework for causal modeling
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Learning Bayesian network equivalence classes with Ant Colony optimization
Journal of Artificial Intelligence Research
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
On the incompatibility of faithfulness and monotone DAG faithfulness
Artificial Intelligence
Using a local discovery ant algorithm for Bayesian network structure learning
IEEE Transactions on Evolutionary Computation
Mind change optimal learning of Bayes net structure from dependency and independency data
Information and Computation
Intrusion detection based on "hybrid" propagation in Bayesian Networks
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Characterization of inclusion neighbourhood in terms of the essential graph
International Journal of Approximate Reasoning
A note on minimal d-separation trees for structural learning
Artificial Intelligence
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Mind change optimal learning of Bayes net structure
COLT'07 Proceedings of the 20th annual conference on Learning theory
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
On the identifiability of the post-nonlinear causal model
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
A geometric view on learning Bayesian network structures
International Journal of Approximate Reasoning
Causal Inference for Structural Equations: With an Application to Wage-Price Spiral
Computational Economics
A causal discovery algorithm using multiple regressions
Pattern Recognition Letters
Learning an L1-regularized Gaussian Bayesian network in the equivalence class space
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Acyclic directed graphs representing independence models
International Journal of Approximate Reasoning
Artificial Intelligence Review
Data Mining and Knowledge Discovery
Inferring interventions in product-based possibilistic causal networks
Fuzzy Sets and Systems
A cooperative coevolutionary genetic algorithm for learning bayesian network structures
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
The Journal of Machine Learning Research
A hybrid anytime algorithm for the construction of causal models from sparse data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Quantifier elimination for statistical problems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
On the testable implications of causal models with hidden variables
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
On the use of skeletons when learning in Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Enumerating Markov equivalence classes of acyclic digraph dels
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
On characterizing inclusion of Bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Improved learning of Bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
On the semi-Markov equivalence of causal models
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Bayesian networks from the point of view of chain graphs
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
UAI'95 Proceedings of the Eleventh 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
Learning Bayesian networks: a unification for discrete and Gaussian domains
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A Bayesian approach to learning causal networks
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
Causal inference in the presence of latent variables and selection bias
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Learning equivalence classes of Bayesian network structures
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
Using new data to refine a Bayesian network
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A construction of Bayesian networks from databases based on an MDL principle
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
An algorithm for deciding if a set of observed independencies has a causal explanation
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Learning bayesian network equivalence classes from incomplete data
DS'06 Proceedings of the 9th international conference on Discovery Science
Theory refinement on Bayesian networks
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A Bayesian method for constructing Bayesian belief networks from databases
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Learning causal structures based on markov equivalence class
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
An information-theoretic causal power theory
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Structural learning of graphical models and its applications to traditional chinese medicine
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Constrained score+(local)search methods for learning bayesian networks
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
Belief revision of product-based causal possibilistic networks
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Learning bayesian networks in semi-deterministic systems
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Artificial Intelligence in Medicine
Learning Bayesian network structure using Markov blanket decomposition
Pattern Recognition Letters
Characteristic imsets for learning Bayesian network structure
International Journal of Approximate Reasoning
Multi-label lego -- enhancing multi-label classifiers with local patterns
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Score-based methods for learning Markov boundaries by searching in constrained spaces
Data Mining and Knowledge Discovery
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Artificial Intelligence in Medicine
Finding optimal Bayesian networks using precedence constraints
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Sub-local constraint-based learning of Bayesian networks using a joint dependence criterion
The Journal of Machine Learning Research
A PC algorithm variation for ordinal variables
Computational Statistics
Causality-based cost-effective action mining
Intelligent Data Analysis
Learning Bayesian network structure: Towards the essential graph by integer linear programming tools
International Journal of Approximate Reasoning
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