optimal decoding - definição. O que é optimal decoding. Significado, conceito
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O que (quem) é optimal decoding - definição

CLASS OF MATHEMATICAL PROBLEMS CONCERNED WITH CHOOSING AN OPTIMAL TIME TO TAKE A PARTICULAR ACTION
Optimal Stopping; Optimal Stopping problem

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.
Decoding         
WIKIMEDIA DISAMBIGUATION PAGE
Decode; Decoding (disambiguation)
Decoding or decode may refer to: is the process of converting code into plain text or any format that is useful for subsequent processes.
Decoding methods         
ALGORITHMS TO DECODE MESSAGES
Mimimum distance decoding; Maximum likelihood decoding; Ideal observer decoding; Syndrome decoding; Minimum distance decoding; Nearest neighbour decoding; Nearest neighbor decoding; ML decoding; Syndrome bit; Minimum distance coding; Minimum distance code; Error syndrome
In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of mapping messages to codewords.

Wikipédia

Optimal stopping

In mathematics, the theory of optimal stopping or early stopping is concerned with the problem of choosing a time to take a particular action, in order to maximise an expected reward or minimise an expected cost. Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem. Optimal stopping problems can often be written in the form of a Bellman equation, and are therefore often solved using dynamic programming.