Probabilistic Active Learning: Uncertainty Sampling

Package and demo details on GitHub

- This code implements active learning through uncertainty sampling within a Gaussian Mixture Model (GMM), considering applications to streaming data.

- The code was written for engineering applications (structural health monitoring), implementation details can be found at [https://www.sciencedirect.com/science/article/pii/S0888327019305096], a paper published in Mechanical Systems and Signal Processing (MSSP).