Title:
StructureLearningLibraries-master
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- Other systems
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- Update:
- 2019-12-29
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- 一颗豆子呀
Description: Bayesian network, also known as belief network, is an extension of Bayes method and one of the most effective theoretical models in the field of uncertain knowledge expression and reasoning. Since it was proposed by pearl in 1988, it has become a research hotspot in recent years. A Bayesian network is a directed acyclic graph (DAG), which is composed of representative variable nodes and directed edges connecting these nodes
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| StructureLearningLibraries-master | 0 | 2017-05-26
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| StructureLearningLibraries-master\BayesianNetwork.py | 1254 | 2017-05-26
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| StructureLearningLibraries-master\README.md | 133 | 2017-05-26
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| StructureLearningLibraries-master\averagedBayesianNetwork.py | 3073 | 2017-05-26
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| StructureLearningLibraries-master\edge.py | 126 | 2017-05-26
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| StructureLearningLibraries-master\incrementalNetwork.py | 5588 | 2017-05-26
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| StructureLearningLibraries-master\runNetworks.py | 2090 | 2017-05-26
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| StructureLearningLibraries-master\sampledNetwork.py | 4998 | 2017-05-26
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| StructureLearningLibraries-master\testNetwork.py | 2521 | 2017-05-26
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| StructureLearningLibraries-master\vertex.py | 6730 | 2017-05-26 |
