Gaussian Processes
88 papers
Papers per year
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6
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1
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Papers
Bayesian estimation of orientation preference maps
NeurIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
NeurIPS 2009
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
NeurIPS 2008
Local Gaussian Process Regression for Real Time Online Model Learning
NeurIPS 2008
Modeling human function learning with Gaussian processes
NeurIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
NeurIPS 2008
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
NeurIPS 2008
Bayesian Co-Training
NeurIPS 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
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo
NeurIPS 2006
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
NeurIPS 2006