Learning Random Numbers: a MATLAB Anomaly

  title={Learning Random Numbers: a MATLAB Anomaly},
  author={Petr Savick{\'y} and Marko Robnik-Sikonja},
  journal={Applied Artificial Intelligence},
We describe how dependencies between random numbers generated with some popular pseudorandom number generators can be detected using general purpose machine learning techniques. This is a novel approach, since usually, pseudorandom number generators are evaluated using tests specifically designed for this purpose. Such specific tests are more sensitive. Hence, detecting the dependence using machine learning methods implies that the dependence is indeed very strong. The most important example of… CONTINUE READING
4 Citations
13 References
Similar Papers

Similar Papers

Loading similar papers…