Co-occurring keywords · papers mentioning both
Papers
Characterizing the Function Space for Bayesian Kernel Models
JMLR 2007
Gaussian Process Models for Link Analysis and Transfer Learning
NeurIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
NeurIPS 2007
Multi-task Gaussian Process Prediction
NeurIPS 2007
Robust Regression with Twinned Gaussian Processes
NeurIPS 2007
The Generalized FITC Approximation
NeurIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
NeurIPS 2007
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo
NeurIPS 2006
Gaussian and Wishart Hyperkernels
NeurIPS 2006
Modelling transcriptional regulation using Gaussian Processes
NeurIPS 2006
Relational Learning with Gaussian Processes
NeurIPS 2006
Stochastic Relational Models for Discriminative Link Prediction
NeurIPS 2006