The K-means algorithm remains one of the most widely-used clustering
met...
Prior beliefs about the latent function to shape inductive biases can be...
The ability to explain decisions made by machine learning models remains...
We review Skilling's nested sampling (NS) algorithm for Bayesian inferen...
Training an artificial neural network involves an optimization process o...
Machine learning techniques are being increasingly used as flexible
non-...