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algorithmic probability造句

例句與造句

  1. Algorithmic Probability and Solomonoff Induction have many advantages for Artificial Intelligence.
  2. Algorithmic probability is closely related to the concept of Kolmogorov complexity.
  3. The theory uses algorithmic probability in a Bayesian framework.
  4. Algorithmic Probability is the only probability system known to be complete in this way.
  5. Fundamental ingredients of the theory are the concepts of algorithmic probability and Kolmogorov complexity.
  6. It's difficult to find algorithmic probability in a sentence. 用algorithmic probability造句挺難的
  7. Algorithmic Probability gives extremely accurate probability estimates.
  8. Solomonoff first described algorithmic probability in 1960, publishing the theorem that launched Kolmogorov complexity and algorithmic information theory.
  9. He followed this with a short series of lectures, and began research on new applications of Algorithmic Probability.
  10. His book " Universal Artificial Intelligence : Sequential Decisions Based on Algorithmic Probability " was published by Springer in 2005.
  11. Algorithmic Probability and Universal ( Solomonoff ) Induction became associated with Solomonoff, who was focused on prediction  the extrapolation of a sequence.
  12. He called this new form of probability " Algorithmic Probability " and showed how to use it for prediction in his theory of inductive inference.
  13. The 1964 papers give a more detailed description of Algorithmic Probability, and Solomonoff Induction, presenting 5 different models, including the model popularly called the Universal Distribution.
  14. In addition to probability estimates, Algorithmic Probability " has for AI another important value : its multiplicity of models gives us many different ways to understand our data;
  15. Solomonoff was developing the branch of Artificial Intelligence that focussed on probability and prediction; his specific view of A . I . described machines that were governed by the Algorithmic Probability distribution.
  16. The algorithmic probability of any given finite output prefix " q " is the sum of the probabilities of the programs that compute something starting with " q ".
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