155 results on '"Cory J. Butz"'
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2. A Comparison of Different Marginalization Operations in Simple Propagation.
3. Upward Pass Semantics in Arithmetic Circuit Inference.
4. Sum-Product Network Decompilation.
5. Exploiting Symmetry of Independence in d-Separation.
6. Solving Influence Diagrams with Simple Propagation.
7. On the Tree Structure of Deep Convolutional Sum-Product Networks.
8. Deep Convolutional Sum-Product Networks.
9. Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models.
10. An Empirical Study of Methods for SPN Learning and Inference.
11. Simple Propagation with Arc-Reversal in Bayesian Networks.
12. On learning the structure of sum-product networks.
13. On Converting Sum-Product Networks into Bayesian Networks.
14. Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks.
15. On Bayesian Network Inference with Simple Propagation.
16. Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks.
17. A Simple Method for Testing Independencies in Bayesian Networks.
18. On Tree Structures Used by Simple Propagation.
19. Bayesian Network Inference with Simple Propagation.
20. Testing Independencies in Bayesian Networks with i-Separation.
21. Darwinian Networks.
22. Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation.
23. Bayesian Network Inference Using Marginal Trees.
24. d-Separation: Strong Completeness of Semantics in Bayesian Network Inference.
25. On Semantics of Inference in Bayesian Networks.
26. On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks.
27. Rough Support Vectors: Classification, Regression, Clustering.
28. Evaluating Probabilistic Inference Techniques: A Question of 'When, ' not 'Which'.
29. Using Four Cost Measures to Determine Arc Reversal Orderings.
30. The CPT Structure of Variable Elimination in Discrete Bayesian Networks.
31. A Web-Based Interface for Hiding Bayesian Network Inference.
32. Precision and Recall in Rough Support Vector Machines.
33. Current Trends in Bayesian Network Inference.
34. An Improved LAZY-AR Approach to Bayesian Network Inference.
35. Modelling Multiagent Bayesian Networks with Inclusion Dependencies.
36. Interval set representations of 1-v-r support vector machine multi-classifiers.
37. On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.
38. Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.
39. The Computational Complexity of Inference Using Rough Set Flow Graphs.
40. Incorporating Evidence in Bayesian Networks with the Select Operator.
41. On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency.
42. Sophisticated Indexes for Implementing Probabilistic Expert Systems.
43. An Integrated Approach to Discovery in Complex Information Spaces.
44. A Web-Based Intelligent Tutoring System for Computer Programming.
45. Towards Jointree Propagation with Conditional Probability Distributions.
46. A Foundational Approach to Mining Itemset Utilities from Databases.
47. A Query Processing Algorithm for Hierarchical Markov Networks.
48. Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks.
49. A Non-local Coarsening Result in Granular Probabilistic Networks.
50. Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.
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