A fast Multiplicative Updates algorithm for Non-negative Matrix Factorization

1 code implementation • 31 Mar 2023 • Mai-Quyen Pham, Jérémy Cohen, Thierry Chonavel

Nonnegative Matrix Factorization is an important tool in unsupervised machine learning to decompose a data matrix into a product of parts that are often interpretable.

Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs

1 code implementation • 28 Oct 2019 • Maxime Mouchet, Sandrine Vaton, Thierry Chonavel, Emile Aben, Jasper den Hertog

In this article we introduce a new model, the HDP-HMM or infinite hidden Markov model, whose performance in trace segmentation is very close to human cognition.

Change Detection Management +2