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

Probability theory describes the likelihood of different outcomes or distinct results from chance processes (sometimes referred to as experiments.) The set of all the possible outcomes of an ...

Abstract: Artificial intelligence (AI) in healthcare, especially in medical imaging, faces challenges due to data scarcity and privacy concerns. Addressing these, we introduce Med-DDPM, a diffusion ...

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...

Abstract: Although modern generative models achieve excellent quality in a variety of tasks, they often lack the essential ability to generate examples with requested properties, such as the age of ...

What is probability? The probability of an event is the proportion of times the event occurs out of a large number of trials. For instance, the probability of obtaining heads when a coin is tossed is ...