Machine learning performance validation and training using a ‘perfect’ expert system
ABSTRACT: A method is proposed for generating application domain agnostic data for training and evaluating machine learning systems. The proposed method randomly generates an expert system network based upon user specified parameters. This expert system serves as a generic model of an unspecified ph...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | MethodsX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016121002703 |