Just as with other problems, there is a difference between randomization testing and bootstrap estimation. In the former, we are primarily interested in hypothesis testing, whereas the latter is ...

Abstract: This paper applies randomization theory to the problem of selecting software test cases for software systems and applications in order to overcome the hurdle of high cost in testing ...

As a randomized variable in nonresponders and relapsed patients to assess its value in the choice of second-line therapy. At study entry, to ascertain whether the in vitro sensitivity to treatment ...

1.) Wagstaff, K., Cardie, C., Rogers, S., & Schrödl, S. (2001, June). Constrained k-means clustering with background knowledge. In ICML (Vol. 1, pp. 577-584). 2 ...

This project was created to understand how different randomization algorithms compare to eachother exclusively written in C++. Each group member created their own randomization algorithm then we ...