11 citations · 19 across the 5 of their papers we have counts for
3 papers · 1 filter
Adaptive Sparse Gaussian Process
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Manel Martínez-Ramón
Adaptive learning is necessary for non-stationary environments where the learning machine needs to forget past data distribution. Efficient algorithms require a compact model updat…
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García
Multivariate Analysis (MVA) comprises a family of well-known methods for feature extraction which exploit correlations among input variables representing the data. One important pr…
A conditional one-output likelihood formulation for multitask Gaussian processes
Óscar García-Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón
Multitask Gaussian processes (MTGP) are the Gaussian process (GP) framework's solution for multioutput regression problems in which the elements of the regressors cannot be con…