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- W2374480959 abstract "Machine learning is an important question for discussion in the Artificial intelligence. Based on classical rough set,and with learner's classification completely included in the tutor's classification,Machine learning can form decision rule. The condition is very rigorous. Rather,Supervised machine learning based on variable precision rough set theory obtains certain compatibility decision rules according to the comparison of the inclusion degree αithat learners' classification is included in the tutor's classification with the given the precision coefficient β. This method is more flexible and practical." @default.
- W2374480959 created "2016-06-24" @default.
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- W2374480959 date "2014-01-01" @default.
- W2374480959 modified "2023-09-24" @default.
- W2374480959 title "Supervised Machine Learning Based on Variable Precision Rough Set Theory" @default.
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