probabilistic decoding - ορισμός. Τι είναι το probabilistic decoding
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Τι (ποιος) είναι probabilistic decoding - ορισμός

NONCONSTRUCTIVE METHOD FOR MATHEMATICAL PROOFS
Probabilistic proof; Erdős magic; Probabilistic combinatorics; Probabilistic methods

Probabilistic programming         
PROGRAMMING LANGUAGE DESIGNED TO DESCRIBE PROBABILISTIC MODELS AND THEN PERFORM INFERENCE IN THOSE MODELS
Probabilistic relational programming language; List of probabilistic programming languages; Probabilistic programming language; Turing.jl; Turing (probabilistic programming); Applications of probabilistic programming
Probabilistic programming (PP) is a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically.
Probabilistic logic         
USE OF PROBABILITY AND LOGIC TO DEAL WITH UNCERTAIN SITUATIONS
Probabilistic reasoning; Probability logic; Probabilistic Logic; Non-Axiomatic Reasoning System
Probabilistic logic (also probability logic and probabilistic reasoning) involves the use of probability and logic to deal with uncertain situations. Probabilistic logic extends traditional logic truth tables with probabilistic expressions.
Encoding/decoding model of communication         
CULTURAL STUDIES MODEL
Hall's Theory; Encoding/Decoding model of communication; Hall's Theory of encoding and decoding; Encoding/Decoding Model of Communication
The Encoding/decoding model of communication was first developed by cultural studies scholar Stuart Hall in 1973. Titled 'Encoding and Decoding in the Television Discourse', Hall's essay offers a theoretical approach of how media messages are produced, disseminated, and interpreted.

Βικιπαίδεια

Probabilistic method

In mathematics, the probabilistic method is a nonconstructive method, primarily used in combinatorics and pioneered by Paul Erdős, for proving the existence of a prescribed kind of mathematical object. It works by showing that if one randomly chooses objects from a specified class, the probability that the result is of the prescribed kind is strictly greater than zero. Although the proof uses probability, the final conclusion is determined for certain, without any possible error.

This method has now been applied to other areas of mathematics such as number theory, linear algebra, and real analysis, as well as in computer science (e.g. randomized rounding), and information theory.