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 ...

New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...

Concept-Cognitive Learning (CCL) is an effective concept learning approach that simulates human cognitive processes to facilitate knowledge discovery. However, existing CCL methods face two ...