algorithmic randomness造句

:What you're describing is basically the martingale characterization of algorithmic randomness.
In 1919 Richard von Mises gave the first definition of algorithmic randomness via the impossibility of a gambling system.
In 1966 Per Martin-L鰂 introduced a new notion which is now generally considered the most satisfactory notion of algorithmic randomness.
In the mid to late 20th-century, ideas of algorithmic information theory introduced new dimensions to the field via the concept of algorithmic randomness.
In the mid-to late-20th century, ideas of algorithmic information theory introduced new dimensions to the field via the concept of algorithmic randomness.
It's difficult to find algorithmic randomness in a sentence. 用algorithmic randomness造句挺难的

This is why these sets are studied in the field of algorithmic randomness, which is a subfield of Computability theory and related to algorithmic information theory in computer science.
Contemporary research in recursion theory includes the study of applications such as algorithmic randomness, computable model theory, and reverse mathematics, as well as new results in pure recursion theory.
The algorithmic randomness of a string was defined as the minimum size of a program ( e . g . in bits ) executed on a universal computer that yields the string.
Three centuries later, the same concept was formalized as algorithmic randomness by A . N . Kolmogorov and Gregory Chaitin as the minimal length of a computer program needed to describe a finite string as random.
He proposed a test of algorithmic randomness and a type of instantaneously trained neural networks ( INNs ) ( which he and his students have called " CC4 network " and others have called " Kak neural networks " ).
Whereas statistical randomness refers to the " process " that produces the string ( e . g . flipping a coin to produce each bit will randomly produce a string ), algorithmic randomness refers to the " string itself ".