Francois, who also attended IHSNO, was accepted into a total of 91 col - $2,636,332

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Fundamental ingredients of the theory are the concepts of algorithmic probability and Kolmogorov complexity. The universal prior probability of any prefix p of a computable sequence x is the sum of the probabilities of all programs (for a universal computer) that compute something starting with p. Given some p and any computable but unknown probability distribution from which x is sampled, the universal prior and Bayes' theorem can be used to predict the yet unseen parts of x in optimal fashion.

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post id: 7281828826

posted: 2021-02-23 16:56

updated: 2021-03-06 12:01

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