gaussian process

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 Selecting Observations against Adversarial Objectives 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 Bayesian Policy Gradient Algorithms NeurIPS 2006 Data Integration for Classification Problems Employing Gaussian Process Priors NeurIPS 2006 Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference RSS 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006 Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006 Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NeurIPS 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006 Relational Learning with Gaussian Processes NeurIPS 2006 Stochastic Relational Models for Discriminative Link Prediction NeurIPS 2006 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005 Gaussian Processes for Ordinal Regression JMLR 2005 Managing Diversity in Regression Ensembles JMLR 2005 Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models JMLR 2005 An Approximate Analytical Approach to Resampling Averages JMLR 2003 PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002