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Selected sample questions generated by the query generator for a Visual Turing Test. The Visual Turing Test, [1] it is “an operator-assisted device that produces a stochastic sequence of binary questions from a given test image”. [1] The query engine produces a sequence of questions that have unpredictable answers given the history of ...
Random test generators (often abbreviated RTG or ISG [1] for Instruction Stream Generator or Instruction Sequence Generator [1]) are a type of computer software that is used in functional verification of microprocessors. Their primary use lies in providing input stimulus to a device under test. In a simulation / testbench verification ...
Random testing is a black-box software testing technique where programs are tested by generating random, independent inputs. Results of the output are compared against software specifications to verify that the test output is pass or fail. [1] In case of absence of specifications the exceptions of the language are used which means if an ...
A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG), [1] is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value, called ...
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 whether it can be described as random (patternless). In stochastic modeling, as in some computer simulations, the hoped-for randomness of potential input data can be verified, by a formal test for ...
In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...
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