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Conferences in DBLP
Some Variations on the PC Algorithm. [Citation Graph (, )][DBLP]
Learning Complex Bayesian Network Features for Classification. [Citation Graph (, )][DBLP]
Literature Mining using Bayesian Networks. [Citation Graph (, )][DBLP]
Locally specified credal networks. [Citation Graph (, )][DBLP]
A Bayesian Network Framework for the Construction of Virtual Agents with Human-like Behaviour. [Citation Graph (, )][DBLP]
Loopy Propagation: the Convergence Error in Markov Networks. [Citation Graph (, )][DBLP]
Preprocessing the MAP Problem. [Citation Graph (, )][DBLP]
Quartet-Based Learning of Shallow Latent Variables. [Citation Graph (, )][DBLP]
Continuous Decision MTE Influence Diagrams. [Citation Graph (, )][DBLP]
Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. [Citation Graph (, )][DBLP]
The Independency tree model: a new approach for clustering and factorisation. [Citation Graph (, )][DBLP]
Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. [Citation Graph (, )][DBLP]
Lattices for Studying Monotonicity of Bayesian Networks. [Citation Graph (, )][DBLP]
Multi-dimensional Bayesian Network Classifiers. [Citation Graph (, )][DBLP]
Dependency networks based classifiers: learning models by using independence. [Citation Graph (, )][DBLP]
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. [Citation Graph (, )][DBLP]
Selecting Strategies for Infinite-Horizon Dynamic LIMIDS. [Citation Graph (, )][DBLP]
Sensitivity analysis of extreme inaccuracies in Gaussian Bayesian Networks. [Citation Graph (, )][DBLP]
Learning Bayesian Networks Structure using Markov Networks. [Citation Graph (, )][DBLP]
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables. [Citation Graph (, )][DBLP]
Symmetric Causal Independence Models for Classification. [Citation Graph (, )][DBLP]
Complexity Results for Enhanced Qualitative Probabilistic Networks. [Citation Graph (, )][DBLP]
Decision analysis with influence diagrams using Elvira's explanation facilities. [Citation Graph (, )][DBLP]
Dynamic importance sampling in Bayesian networks using factorisation of probability trees. [Citation Graph (, )][DBLP]
Learning Semi-Markovian Causal Models using Experiments. [Citation Graph (, )][DBLP]
Geometry of rank tests. [Citation Graph (, )][DBLP]
An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models. [Citation Graph (, )][DBLP]
Adapting Bayes Network Structures to Non-stationary Domains. [Citation Graph (, )][DBLP]
Diagnosing Lyme disease - Tailoring patient specific Bayesian networks for temporal reasoning. [Citation Graph (, )][DBLP]
Predictive Maintenance using Dynamic Probabilistic Networks. [Citation Graph (, )][DBLP]
Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. [Citation Graph (, )][DBLP]
Evidence and Scenario Sensitivities in Naive Bayesian Classifiers. [Citation Graph (, )][DBLP]
Abstraction and Refinement for Solving Continuous Markov Decision Processes. [Citation Graph (, )][DBLP]
Bayesian Model Averaging of TAN Models for Clustering. [Citation Graph (, )][DBLP]
Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. [Citation Graph (, )][DBLP]
A Short Note on Discrete Representability of Independence Models. [Citation Graph (, )][DBLP]
Evaluating Causal effects using Chain Event Graphs. [Citation Graph (, )][DBLP]
Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models. [Citation Graph (, )][DBLP]
Optimal Design with Design Networks. [Citation Graph (, )][DBLP]
Hybrid Loopy Belief Propagation. [Citation Graph (, )][DBLP]
Probabilistic Independence of Causal Influences. [Citation Graph (, )][DBLP]
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