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- W3150973836 abstract "In this article, I'm going to apply the new, polynomial time model of artificial intelligence that I've developed to four well-known datasets from the UCI Machine Learning Repository. For each of the four classification problems, the categorizations and predictions generated by the algorithms were generated on an unsupervised basis. Over the four classification problems, the categorization algorithm had an average success rate of 92.833%, where success is measured by the percentage of categories that are consistent with the hidden classification data. Over the four classification problems, the prediction algorithm had an average success rate of 93.497%, where success is measured by the percentage of predictions that are consistent with the hidden classification data. All of the code necessary to run these algorithms, and apply them to the training data, is available on my researchgate homepage." @default.
- W3150973836 created "2021-04-13" @default.
- W3150973836 creator A5044417315 @default.
- W3150973836 date "2019-01-01" @default.
- W3150973836 modified "2023-09-25" @default.
- W3150973836 title "A New Model of Artificial Intelligence: Application to Data I" @default.
- W3150973836 doi "https://doi.org/10.2139/ssrn.3338864" @default.
- W3150973836 hasPublicationYear "2019" @default.
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