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Bayesian network structure learning by recursive autonomy identification
Raanan Yehezkel,
Boaz Lerner
Department of Industrial Engineering and Management
Research output
:
Contribution to journal
›
Article
›
peer-review
51
Scopus citations
Overview
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Keyphrases
Identification Algorithm
100%
Bayesian Network Structure Learning
100%
Conditional Independence Test
100%
Substructure
66%
Structure Decomposition
66%
Classification Accuracy
33%
Undirected Graph
33%
High-order
33%
Phase Behavior
33%
Computational Complexity
33%
Curse of Dimensionality
33%
Reinsertion
33%
Constraint-based
33%
Structural Classification
33%
Operation Sequence
33%
Edge Structure
33%
Synthesis Problem
33%
Edge Direction
33%
Max-Min Hill-Climbing Algorithm
33%
Decomposition Learning
33%
Constraint-based Algorithm
33%
Greedy Equivalence Search
33%
Sequential Application
33%
Greedy Search
33%
Structural Correctness
33%
Dependency Analysis
33%
Computer Science
bayesian network structure
100%
Conditional Independence
100%
structure learning
100%
Identification Algorithm
100%
Classification Accuracy
33%
Directed Graphs
33%
Computational Complexity
33%
Hill Climbing
33%