A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data

Nazanin Shajoonnezhad; Amin Nikanjam

doi:10.1007/s13042-022-01674-9

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A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data

Nazanin Shajoonnezhad Amin Nikanjam

Year: 2022 Journal: International Journal of Machine Learning and Cybernetics Vol: 14 (3)Pages: 947-958 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-022-01674-9

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Keywords:

Computer science Coordinate descent Robustness (evolution) Bayesian network Algorithm Benchmark (surveying) Artificial intelligence Stochastic gradient descent Machine learning Artificial neural network

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data

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