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- W1588691067 abstract "A recently reported phenomenon in machine concept learning is that concept descriptions can be simplified with little ill-effect (or even positive effects) on classification accuracy, but there has been little qualification of this observation. Experiments using Quinlan's learning from examples system, ID3, and Fisher's conceptual clustering system, COBWEB, suggest that the benefits of simplification vary with the amount of training and with the statistical dependence of concept members on defining attributes." @default.
- W1588691067 created "2016-06-24" @default.
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- W1588691067 date "1988-01-01" @default.
- W1588691067 modified "2023-09-25" @default.
- W1588691067 title "Concept Simplification and Prediction Accuracy" @default.
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- W1588691067 doi "https://doi.org/10.1016/b978-0-934613-64-4.50007-4" @default.
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