Dimensionality Detection and Integration of Multiple Data Sources via the GP-LVM

no code implementations • 1 Jul 2013 • James Barrett, Anthony C. C. Coolen

The Gaussian Process Latent Variable Model (GP-LVM) is a non-linear probabilistic method of embedding a high dimensional dataset in terms low dimensional `latent' variables.

Binary Classification Model Selection +1