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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Multi-task Gaussian Process Prediction NIPS 2007
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NIPS 2007
The Generalized FITC Approximation NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Selecting Observations against Adversarial Objectives NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo NIPS 2006
Bayesian Policy Gradient Algorithms NIPS 2006
Modelling transcriptional regulation using Gaussian Processes NIPS 2006
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NIPS 2006
Stochastic Relational Models for Discriminative Link Prediction NIPS 2006
Data Integration for Classification Problems Employing Gaussian Process Priors NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005
An Approximate Analytical Approach to Resampling Averages JMLR 2003
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002