Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
The size distribution for Markov equivalence classes of acyclic digraph models
Artificial Intelligence
Causal Probabilistic Networks with Both Discrete and Continuous Variables
IEEE Transactions on Pattern Analysis and Machine Intelligence
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Optimization in continuous domain by real-coded estimation of distribution algorithm
Design and application of hybrid intelligent systems
Hybrid influence diagrams using mixtures of truncated exponentials
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
An empirical evaluation of possible variations of lazy propagation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Local Propagation in Conditional Gaussian Bayesian Networks
The Journal of Machine Learning Research
Individualizing generic decision models using assessments as evidence
Journal of Biomedical Informatics - Special section: JAMA commentaries
An evolutionary computing approach to probabilistic reasoning on bayesian networks
Evolutionary Computation
Wrapper discretization by means of estimation of distribution algorithms
Intelligent Data Analysis
Connection Science - Evolutionary Learning and Optimisation
Belief update in CLG Bayesian networks with lazy propagation
International Journal of Approximate Reasoning
Modeling Highway Traffic Volumes
ECML '07 Proceedings of the 18th European conference on Machine Learning
Extreme inaccuracies in Gaussian Bayesian networks
Journal of Multivariate Analysis
Triangulation of Bayesian networks with recursive estimation of distribution algorithms
International Journal of Approximate Reasoning
Arc reversals in hybrid Bayesian networks with deterministic variables
International Journal of Approximate Reasoning
Sparse Gaussian graphical models with unknown block structure
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Inference in Hybrid Bayesian Networks with Deterministic Variables
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Operations for learning with graphical models
Journal of Artificial Intelligence Research
A model for projection and action
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Efficiency of influence diagram models with continuous decision variables
Decision Support Systems
Mining and visualising ordinal data with non-parametric continuous BBNs
Computational Statistics & Data Analysis
Solving linear-quadratic conditional Gaussian influence diagrams
International Journal of Approximate Reasoning
Knowledge representation for stochastic decision processes
Artificial intelligence today
A performance evaluation framework for association mining in spatial data
Journal of Intelligent Information Systems
International Journal of Approximate Reasoning
Evaluating the difference between graph structures in Gaussian Bayesian networks
Expert Systems with Applications: An International Journal
Smooth conditional transition paths in dynamical gaussian networks
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A general algorithm for approximate inference and its application to hybrid bayes nets
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A variational approximation for Bayesian networks with discrete and continuous latent variables
UAI'99 Proceedings of the Fifteenth 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
Graphical models and exponential families
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning mixtures of DAG models
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Implementation of continuous Bayesian networks using sums of weighted Gaussians
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
UAI'96 Proceedings of the Twelfth international 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
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Decision methods for adaptive task-sharing in associate systems
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Symbolic probabilistic inference with continuous variables
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
Information Sciences: an International Journal
Determining effective connectivity from FMRI data using a gaussian dynamic bayesian network
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Simulation method for solving hybrid influence diagrams in decision making
Proceedings of the Winter Simulation Conference
Sensitivity to hyperprior parameters in Gaussian Bayesian networks
Journal of Multivariate Analysis
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