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Carl Edward Rasmussen
Carl Edward Rasmussen
Professor of Machine Learning, University of Cambridge
Verifisert e-postadresse på cam.ac.uk - Startside
Tittel
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Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
the MIT Press, 2006
370342006
A unifying view of sparse approximate Gaussian process regression
J Quiñonero-Candela, CE Rasmussen
The Journal of Machine Learning Research 6, 1939-1959, 2005
26752005
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
21482011
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in Neural Processing Systems 8, 514 - 520, 1996
20771996
The infinite Gaussian mixture model
CE Rasmussen
Advances in neural information processing systems 12, 1999
18911999
Gaussian processes for machine learning (GPML) toolbox
CE Rasmussen, H Nickisch
The Journal of Machine Learning Research 11, 3011-3015, 2010
13532010
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems 14, 577-584, 2002
8982002
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
8902015
Advances in neural information processing systems
CKI Williams, CE Rasmussen
Nobili F, Mazzei D, Dessi B, Morbelli S, Brugnolo A, Barbieri P, 18131821, 1996
8791996
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
694*2003
Infinite mixtures of Gaussian process experts
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 14 2, 881-888, 2002
6862002
Evaluation of Gaussian processes and other methods for non-linear regression
CE Rasmussen
University of Toronto Toronto, Canada, 1997
6771997
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
The Journal of Machine Learning Research 11, 1865-1881, 2010
6222010
Approximations for binary Gaussian process classification
H Nickisch, CE Rasmussen
Journal of Machine Learning Research 9 (10), 2035-2078, 2008
5112008
Warped Gaussian processes
E Snelson, CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 16, 337-344, 2004
4822004
Gaussian Processes in Machine Learning
CE Rasmussen
Summer school on machine learning, 63-71, 2003
481*2003
Additive Gaussian Processes
D Duvenaud, H Nickisch, CE Rasmussen
Neural Information Processing Systems 24, 226-234, 2012
4562012
Derivative observations in Gaussian process models of dynamic systems
E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen
MIT Press, 2003
4372003
Assessing Approximate Inference for Binary Gaussian Process Classification.
M Kuss, CE Rasmussen
Journal of machine learning research 6 (10), 2005
4302005
Occam's razor
C Rasmussen, Z Ghahramani
Advances in neural information processing systems 13, 2000
4232000
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Artikler 1–20