138 results on '"Dechter, Rina"'
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2. Inference: Bucket Elimination for Probabilistic Networks
3. Reasoning with Probabilistic and Deterministic Graphical Models
4. Introduction
5. Defining Graphical Models
6. Conclusion
7. Combining Search and Inference: Trading Space for Time
8. Tree-Clustering Schemes
9. Anytime AND/OR Depth-First Search for Combinatorial Optimization
10. Memory-Efficient Tree Size Prediction for Depth-First Search in Graphical Models
11. Tree-Clustering Schemes
12. Conclusion
13. Reasoning with Probabilistic and Deterministic Graphical Models
14. Inference: Bucket Elimination for Deterministic Networks
15. Inference: Bucket Elimination for Probabilistic Networks
16. Combining Search and Inference: Trading Space for Time
17. What are Graphical Models
18. AND/OR Search Spaces and Algorithms for Graphical Models
19. Introduction
20. Bucket and Mini-bucket Schemes for M Best Solutions over Graphical Models
21. FINDING MOST LIKELY HAPLOTYPES IN GENERAL PEDIGREES THROUGH PARALLEL SEARCH WITH DYNAMIC LOAD BALANCING
22. Robust Solutions in Unstable Optimization Problems
23. AND/OR Multi-valued Decision Diagrams for Constraint Networks
24. Best-First AND/OR Search for 0/1 Integer Programming
25. AND/OR Multi-valued Decision Diagrams for Constraint Optimization
26. Tractable Structures for Constraint Satisfaction Problems
27. AND/OR Branch-and-Bound Search for Pure 0/1 Integer Linear Programming Problems
28. A New Algorithm for Sampling CSP Solutions Uniformly at Random
29. Compiling Constraint Networks into AND/OR Multi-valued Decision Diagrams (AOMDDs)
30. AND/OR Branch-and-Bound for Solving Mixed Integer Linear Programming Problems
31. AND/OR Search Spaces and the Semantic Width of Constraint Networks
32. The Impact of AND/OR Search Spaces on Constraint Satisfaction and Counting
33. Counting-Based Look-Ahead Schemes for Constraint Satisfaction
34. Constraints and Probabilistic Networks: A Look At The Interface
35. Temporal Constraint Networks
36. Consistency-Enforcing and Constraint Propagation
37. Constraint Networks
38. Stochastic Greedy Local Search
39. Cycle-Cutset Sampling for Bayesian Networks
40. General Search Strategies: Look-Ahead
41. Advanced Consistency Methods
42. Foreword
43. General Search Strategies: Look-Back
44. Introduction
45. Probabilistic Networks
46. Hybrids of Search and Inference: Time-Space Trade-Offs
47. Tree Decomposition Methods
48. Constraint Optimization
49. Directional Consistency
50. A General Scheme for Multiple Lower Bound Computation in Constraint Optimization
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