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Carl Edward Rasmussen
Carl Edward Rasmussen
Professor of Machine Learning, University of Cambridge
Bestätigte E-Mail-Adresse bei cam.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
the MIT Press, 2006
265832006
Gaussian processes in machine learning
CE Rasmussen
Lecture notes in computer science 3176, 63-71, 2004
38272004
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems 14, 577-584, 2002
2603*2002
A unifying view of sparse approximate Gaussian process regression
J Quiñonero-Candela, CE Rasmussen
The Journal of Machine Learning Research 6, 1939-1959, 2005
22502005
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
17072011
The infinite Gaussian mixture model
CE Rasmussen
Advances in neural information processing systems 12, 554-560, 2000
16952000
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in Neural Processing Systems 8, 514 - 520, 1996
15881996
Gaussian processes for machine learning (GPML) toolbox
CE Rasmussen, H Nickisch
The Journal of Machine Learning Research 11, 3011-3015, 2010
11132010
Gaussian Processes for Data-Efficient Learning in Robotics and Control
M Deisenroth, D Fox, C Rasmussen
IEEE Transactions on Pattern Analysis and Machine Intelligence 37, 408-423, 2015
7082015
Evaluation of Gaussian processes and other methods for non-linear regression
CE Rasmussen
University of Toronto, 1996
6501996
Infinite mixtures of Gaussian process experts
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 14 2, 881-888, 2002
6232002
Gaussian Process priors with uncertain inputs - Application to multiple-step ahead time series forecasting
A Girard, CE Rasmussen, J Quinonero-Candela, R Murray-Smith
MIT Press, 2003
595*2003
Gaussian process priors with uncertain inputs: Multiple-step ahead prediction
A Girard, CE Rasmussen, R Murray-Smith
Delovno porocilo DCS TR-2002-119, University of Glasgow, Glasgow, 2002
527*2002
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
The Journal of Machine Learning Research 11, 1865-1881, 2010
5202010
Approximations for binary Gaussian process classification
H Nickisch, CE Rasmussen
Journal of Machine Learning Research 9, 2035-2078, 2008
4412008
Warped Gaussian processes
E Snelson, CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 16, 337-344, 2004
4182004
Assessing approximate inference for binary Gaussian process classification
M Kuss, CE Rasmussen
The Journal of Machine Learning Research 6, 1679-1704, 2005
3912005
Derivative observations in Gaussian process models of dynamic systems
E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen
MIT Press, 2003
3762003
Occam's razor
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems, 294-300, 2001
3632001
Bayesian monte Carlo
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 15, 489-496, 2003
352*2003
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