Segui
Carl Edward Rasmussen
Carl Edward Rasmussen
Professor of Machine Learning, University of Cambridge
Email verificata su cam.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
the MIT Press, 2006
363352006
A unifying view of sparse approximate Gaussian process regression
J Quiñonero-Candela, CE Rasmussen
The Journal of Machine Learning Research 6, 1939-1959, 2005
26312005
PILCO: A model-based and data-efficient approach to policy search
M Deisenroth, CE Rasmussen
Proceedings of the 28th International Conference on machine learning (ICML …, 2011
20932011
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in Neural Processing Systems 8, 514 - 520, 1996
20121996
The infinite Gaussian mixture model
CE Rasmussen
Advances in neural information processing systems 12, 1999
18731999
Gaussian processes for machine learning (GPML) toolbox
CE Rasmussen, H Nickisch
The Journal of Machine Learning Research 11, 3011-3015, 2010
13262010
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems 14, 577-584, 2002
8962002
Gaussian Processes for Data-Efficient Learning in Robotics and Control
M Deisenroth, D Fox, CE Rasmussen
IEEE Transactions on Pattern Analysis and Machine Intelligence 37, 408-423, 2015
8812015
Gaussian Process priors with uncertain inputs - Application to multiple-step ahead time series forecasting
A Girard, CE Rasmussen, J Quinonero-Candela, R Murray-Smith
Neural Information Processing Systems (NIPS), 545-552, 2003
678*2003
Infinite mixtures of Gaussian process experts
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 14 2, 881-888, 2002
6772002
Evaluation of Gaussian processes and other methods for non-linear regression
CE Rasmussen
University of Toronto Toronto, Canada, 1997
6741997
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
The Journal of Machine Learning Research 11, 1865-1881, 2010
6132010
Approximations for binary Gaussian process classification
H Nickisch, CE Rasmussen
Journal of Machine Learning Research 9 (Oct), 2035-2078, 2008
5052008
Gaussian Processes in Machine Learning
CE Rasmussen
Summer school on machine learning, 63-71, 2003
481*2003
Warped Gaussian processes
E Snelson, CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 16, 337-344, 2004
4742004
Additive Gaussian Processes
D Duvenaud, H Nickisch, CE Rasmussen
Neural Information Processing Systems 24, 226-234, 2012
4412012
Derivative observations in Gaussian process models of dynamic systems
E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen
MIT Press, 2003
4332003
Assessing Approximate Inference for Binary Gaussian Process Classification.
M Kuss, CE Rasmussen
Journal of machine learning research 6 (10), 2005
4272005
Occam's razor
C Rasmussen, Z Ghahramani
Advances in neural information processing systems 13, 2000
4182000
Bayesian monte Carlo
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 15, 489-496, 2003
383*2003
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20