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1. Randomness: In common usage, randomness is the apparent or actual lack of definite pattern or predictability in information. A random sequence of events, symbols or steps often has no order and does not follow an intelligible pattern or combination. (Apparent lack of pattern or predictability in events) [100%] 2023-12-13 [Randomness] [Cryptography]...
2. Randomness: Randomness is a lack of order, purpose, cause, or predictability. However, it is still possible to make predictions involving randomness, because randomness tends to average out over time. [100%] 2023-03-05 [Dictionary]
3. Randomness test: A randomness test (or test for randomness), in data evaluation, is a test used to analyze the distribution of a set of data to see if it can be described as random (patternless). In stochastic modeling, as in some computer ... [70%] 2023-12-13 [Algorithmic information theory] [Statistical randomness]...
4. Statistical randomness: A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal dice roll or the digits of π exhibit statistical randomness. Statistical randomness does not necessarily imply ... (Quality of a numerical sequence of having no recognizable patterns) [70%] 2023-12-14 [Statistical randomness]
5. Randomness merger: In extractor theory, a randomness merger is a function which extracts randomness out of a set of random variables, provided that at least one of them is uniformly random. Its name stems from the fact that it can be seen ... (Function in extractor theory) [70%] 2024-01-09 [Computational complexity theory] [Cryptographic algorithms]...
6. Randomness extractor: A randomness extractor, often simply called an "extractor", is a function, which being applied to output from a weakly random entropy source, together with a short, uniformly random seed, generates a highly random output that appears independent from the source ... [70%] 2023-12-13 [Computational complexity theory] [Cryptographic algorithms]...
7. Algorithmic randomness: Algorithmic randomness is the study of random individual elements in sample spaces, mostly the set of all infinite binary sequences. An algorithmically random element passes all effectively devised tests for randomness. [70%] 2021-12-21 [Algorithmic Information Theory] [Multiple_Curators]...
8. Randomness merger: In extractor theory, a randomness merger is a function which extracts randomness out of a set of random variables, provided that at least one of them is uniformly random. Its name stems from the fact that it can be seen ... [70%] 2023-10-25 [Computational complexity theory] [Cryptographic algorithms]...
9. Randomness tests: Randomness tests (or tests for randomness), in data evaluation, are used to analyze the distribution of a set of data to see if it can be described as random (patternless). In stochastic modeling, as in some computer simulations, the hoped ... [70%] 2023-11-14 [Algorithmic information theory] [Statistical randomness]...
10. Statistical randomness: A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal dice roll or the digits of π exhibit statistical randomness. Statistical randomness does not necessarily imply ... [70%] 2023-11-15 [Statistical randomness]
11. Randomness extractor: A randomness extractor, often simply called an "extractor", is a function, which being applied to output from a weak entropy source, together with a short, uniformly random seed, generates a highly random output that appears independent from the source and ... (Physics concept) [70%] 2023-12-13 [Computational complexity theory] [Cryptographic algorithms]...
12. Chance versus Randomness: Randomness, as we ordinarily think of it, exists when some outcomes occur haphazardly, unpredictably, or by chance. These latter three notions are all distinct, but all have some kind of close connection to probability. (Philosophy) [57%] 2022-07-23
13. Complete spatial randomness: Complete spatial randomness (CSR) describes a point process whereby point events occur within a given study area in a completely random fashion. It is synonymous with a homogeneous spatial Poisson process. [57%] 2023-12-13 [Spatial analysis] [Point processes]...
14. Divergence-from-randomness model: In the field of information retrieval, divergence from randomness, one of the first models, is one type of probabilistic model. It is basically used to test the amount of information carried in the documents. [50%] 2023-12-13 [Ranking functions] [Information retrieval techniques]...
15. Seven states of randomness: The seven states of randomness in probability theory, fractals and risk analysis are extensions of the concept of randomness as modeled by the normal distribution. These seven states were first introduced by Benoît Mandelbrot in his 1997 book Fractals and ... (Extensions of the concept of randomness) [50%] 2023-12-13 [Fractals] [Statistical randomness]...