Abstract: Autotuning has been widely studied in high performance computing as a very effective mechanism for improving application performance. Such an approach has become particularly crucial for ...
Abstract: This research work focuses on analyzing the performance of a proposed random forest (RF) method with that of Gaussian Naive Bayes in predicting software problems. The database utilized in ...
Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.
Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.
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Scientists create perfectly random numbers using entangled quantum chips for first time
Researchers at ETH Zurich have developed a method to generate what they describe as ...
Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
Statisticians call this variable selection: identifying which variables, or features, are most important when correlated with ...
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