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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Analytical Results for the Error in Filtering of Gaussian Processes NIPS 2011
Nonlinear Inverse Reinforcement Learning with Gaussian Processes NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NIPS 2011
Active learning of neural response functions with Gaussian processes NIPS 2011
Robust Multi-Class Gaussian Process Classification NIPS 2011
State-Space Inference and Learning with Gaussian Processes AISTATS 2010
Heavy-Tailed Process Priors for Selective Shrinkage NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Switched Latent Force Models for Movement Segmentation NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Exact learning curves for Gaussian process regression on large random graphs NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Evaluation of Rarity of Fingerprints in Forensics NIPS 2010
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NIPS 2010
Copula Processes NIPS 2010
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010