Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

“A better model for determining essentiality, in the author’s opinion, is a probabilistic model that tries to estimate the likelihood of a portfolio to be infringed, valid and/or essential.” In recent ...

Our new world of sensors, smartphones, and connected devices means more data than ever — but does it also mean that it’s getting easier to make well-informed decisions? Quite the contrary, in fact.

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

A probabilistic approach can evaluate the reliability of hydrocarbon pipelines suffering active corrosion defects, taking into account the effect of the correlation between the input variables. A ...