The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm

Feng Liu; Qiliang Zhu

doi:10.1007/978-3-540-73053-8_35

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The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm

Feng Liu Qiliang Zhu

Year: 2007 Lecture notes in computer science Pages: 346-356 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-73053-8_35

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Keywords:

Computer science Greedy algorithm Bayesian network Robustness (evolution) Redundancy (engineering) Wake-sleep algorithm Algorithm Artificial intelligence Relevance (law) Computation Machine learning Artificial neural network Generalization error

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Data Quality and Management

Social Sciences → Decision Sciences → Management Science and Operations Research

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm

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