Learning GPLVM with arbitrary kernels using the unscented transformation

2 code implementations • 3 Jul 2019 • Daniel Augusto R. M. A. de Souza, Diego Mesquita, César Lincoln C. Mattos, João Paulo P. Gomes

Gaussian Process Latent Variable Model (GPLVM) is a flexible framework to handle uncertain inputs in Gaussian Processes (GPs) and incorporate GPs as components of larger graphical models.

Dimensionality Reduction Gaussian Processes +1