Search filters

List of works by Carl Edward Rasmussen

Active Learning of Model Evidence Using Bayesian Quadrature ⬇️

scientific article published in January 2012

Adaptive regularization

Additive Gaussian Processes ⬇️

scientific article published in January 2011

Approximate dynamic programming with Gaussian processes

Assessing Approximations for Gaussian Process Classification ⬇️

scientific article published in January 2006

Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC ⬇️

scientific article published in January 2013

Bayesian Modelling of fMRI time Series ⬇️

scientific article published in January 2000

Bayesian Monte Carlo ⬇️

scientific article published in January 2003

Convolutional Gaussian Processes ⬇️

scientific article published in January 2017

Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs ⬇️

scientific article published in January 2017

Derivative Observations in Gaussian Process Models of Dynamic Systems ⬇️

scientific article published in January 2003

Designer networks for time series processing

scholarly article by Claus Svarer et al published 1993 in Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models ⬇️

Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting ⬇️

article by Agathe Girard et al published 2003 in Advances in Neural Information Processing Systems 15

Gaussian Process Training with Input Noise ⬇️

scientific article published in January 2011

Gaussian Processes for Data-Efficient Learning in Robotics and Control ⬇️

scientific article

Gaussian Processes for Machine Learning ⬇️

Gaussian Processes for Regression ⬇️

Gaussian Processes in Machine Learning

scientific article from 2004 by C.E. Rasmussen

Gaussian Processes in Reinforcement Learning ⬇️

scientific article published in January 2004

Gaussian process dynamic programming

Infinite Mixtures of Gaussian Process Experts ⬇️

scientific article published in January 2002

Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures

scientific article published in October 2009

Prediction on Spike Data Using Kernel Algorithms ⬇️

scientific article published in January 2004

Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting

scholarly article published 2003

Pruning from Adaptive Regularization

scientific article published in November 1994

Robust Filtering and Smoothing with Gaussian Processes

The Infinite Hidden Markov Model ⬇️

scientific article by Beal et al. from NIPS 2001 published in 2002

Understanding Probabilistic Sparse Gaussian Process Approximations ⬇️

scientific article published in January 2016

Variational Gaussian Process State-Space Models ⬇️

Warped Gaussian Processes ⬇️

scientific article published in January 2004

Paulina is supported by:

About Paulina

Help