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A New Model of Artificial Intelligence: Application to Data II

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Document pages: 5 pages

Abstract: In this article, I m going to apply the new, polynomial time model of artificial intelligence that I ve developed to the MNIST numerical character dataset, as well as two small image datasets made with an ordinary iPhone camera. The MNIST dataset was analyzed on a supervised basis, with a success rate of 95.402 , where success is measured by the percentage of predictions that are consistent with the classification data. The other two datasets were analyzed on an unsupervised basis, with an average success rate of 95.834 . All of the code necessary to run these algorithms, and apply them to the training data, is available on my researchgate homepage.

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