Want more? Subscribe to our newsletter to get our investigations delivered straight to your inbox. We’ve had several problems pop up this year that have called for comparing a bunch of documents to a ...

In machine learning, it is often necessary to statistically compare the overall performance of two algorithms (e.g., our proposed algorithm and each compared baseline) based on multiple benchmark ...

Supervised learning has been wildly applied to various realistic applications, such as healthcare (e.g., disease diagnosis) and transportation (e.g., autonomous vehicles) Unfortunately, to train an ...

Efficacy and safety are the two considerations when characterising the effects of a new therapy. We sought to apply an innovative method of assessing the benefit–risk balance using data from a ...

When comparing more than two means, an ANOVA F-test tells you whether the means are significantly different from each other, but it does not tell you which means differ from which other means.

Anyone who has ever tried to pull a specific book out from the middle of a crowded shelf knows that the hard part is not the reaching, it is the figuring out what sits on top of what. Robots face ...