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- W1488518963 abstract "It is widely observed that manufacturing quality metrics improve as experience is gained during production. The traditional empirical learning curves modeling such improvements have recently been explained by a predictive model deduced from first principles, namely certain principles imported into artificial intelligence from statistical mechanics. However, this new learning model is limited to a finite lesson pool of paradigm shifts. This paper presents an extension to incremental learning using sampling based on the notion of dynamic random sets." @default.
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- W1488518963 date "2011-01-01" @default.
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- W1488518963 title "Using Random Sets to Model Learning in Manufacturing" @default.
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- W1488518963 doi "https://doi.org/10.26713/jims.v3i3.51" @default.
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