The objective is to find the parameter regime in which a spikey-like SMBHB would be recoverable from PLATO time series using bayesian inference.

A new Bayesian network framework predicts dropout risk in online continuing education with 88.9 percent cross-validated ...

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

When it comes to neural network training, Python is the language of choice. But for inference, code needs to be transformed to meet the various hardware performance and device limitations. This has ...