Abstract: Federated learning (FL) is an approach to training machine learning ... Unfortunately, because the weights and biases in Bayesian DL models are defined by a probability distribution, simple ...

Machine Learning is a field of Computational Science - often nested under AI research - with many practical applications due to the ability of resulting algorithms to systematically implement a ...

"Bayesian unsupervised clustering identifies ... Despite these challenges, the LPD method proved to be reliable, as it ...

Theorems are presented together with practical aspects of methodology and intuition to help students develop tools for selecting appropriate methods and approaches to problems in their own research.

This paper integrates the ideas of improved multivariate time series sampling and deep learning prediction model structure optimization, and proposes an optimized deep learning model framework under ...

Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical computational methods, and in ...

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Explore regression as a supervised machine learning technique to predict a continuous variable (response or target) from a set of other variables (features or predictors). You'll eventually understand ...

If you are just getting started in the field of machine learning (ML), or if you are looking to refresh your skills, you might wonder which is the best language to use. Choosing the right machine ...