261 results on '"Moral, Serafin"'
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2. Imprecise probabilistic models based on hierarchical intervals
3. Imprecise Classification with Non-parametric Predictive Inference
4. Learning Sets of Bayesian Networks
5. Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions
6. Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998)
7. Combination of Upper and Lower Probabilities
8. Calculating Uncertainty Intervals From Conditional Convex Sets of Probabilities
9. Partially Specified Belief Functions
10. Independence Concepts for Convex Sets of Probabilities
11. Inference with Idempotent Valuations
12. Credal C4.5 with Refinement of Parameters
13. Divergence Measures and Approximate Algorithms for Valuation Based Systems
14. Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models
15. Discounting Imprecise Probabilities
16. Learning with imprecise probabilities as model selection and averaging
17. Upper Probabilities Based Only on the Likelihood Function
18. Assessment of Situation Awareness and Automation in Performance-Based Navigation Procedures
19. Modeling aircrew information management for estimation of situational awareness using dynamic Bayesian networks
20. Extended Probability Trees for Probabilistic Graphical Models
21. The behavioral meaning of the median
22. Algorithms for Approximate Probability Propagation in Bayesian Networks
23. Learning Recursive Probability Trees from Data
24. Algorithms for Imprecise Probabilities
25. Introduction
26. Locally Averaged Bayesian Dirichlet Metrics
27. Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks
28. Recursive Probability Trees for Bayesian Networks
29. An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data
30. A Bayesian Random Split to Build Ensembles of Classification Trees
31. Binary Probability Trees for Bayesian Networks Inference
32. Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem
33. A Semi-naive Bayes Classifier with Grouping of Cases
34. Varying Parameter in Classification Based on Imprecise Probabilities
35. New strategies for finding multiplicative decompositions of probability trees
36. Approximate Factorisation of Probability Trees
37. Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space
38. Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination
39. Partial Abductive Inference in Bayesian Networks by Using Probability Trees
40. Range of Entropy for Credal Sets
41. An interactive approach for Bayesian network learning using domain/expert knowledge
42. Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
43. A Formal language for convex sets of probabilities
44. New skeleton-based approaches for Bayesian structure learning of Bayesian networks
45. Approximating Conditional MTE Distributions by Means of Mixed Trees
46. Dynamic Importance Sampling Computation in Bayesian Networks
47. On the Problem of Performing Exact Partial Abductive Inference in Bayesian Belief Networks using Junction Trees
48. Computing Intervals of Probabilities with Simulated Annealing and Probability Trees
49. Mixtures of Truncated Exponentials in Hybrid Bayesian Networks
50. Importance Sampling in Bayesian Networks Using Antithetic Variables
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