algorithmic probability造句
例句與造句
- Algorithmic Probability and Solomonoff Induction have many advantages for Artificial Intelligence.
- Algorithmic probability is closely related to the concept of Kolmogorov complexity.
- The theory uses algorithmic probability in a Bayesian framework.
- Algorithmic Probability is the only probability system known to be complete in this way.
- Fundamental ingredients of the theory are the concepts of algorithmic probability and Kolmogorov complexity.
- It's difficult to find algorithmic probability in a sentence. 用algorithmic probability造句挺難的
- Algorithmic Probability gives extremely accurate probability estimates.
- Solomonoff first described algorithmic probability in 1960, publishing the theorem that launched Kolmogorov complexity and algorithmic information theory.
- He followed this with a short series of lectures, and began research on new applications of Algorithmic Probability.
- His book " Universal Artificial Intelligence : Sequential Decisions Based on Algorithmic Probability " was published by Springer in 2005.
- Algorithmic Probability and Universal ( Solomonoff ) Induction became associated with Solomonoff, who was focused on prediction the extrapolation of a sequence.
- He called this new form of probability " Algorithmic Probability " and showed how to use it for prediction in his theory of inductive inference.
- 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.
- 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;
- 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.
- 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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