Theo dõi
Carl Edward Rasmussen
Carl Edward Rasmussen
Professor of Machine Learning, University of Cambridge
Email được xác minh tại cam.ac.uk - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
MIT Press, 2006
334982006
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems 14, 577-584, 2002
2682*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
24722005
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
19282011
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in Neural Processing Systems 8, 514 - 520, 1996
18051996
The infinite Gaussian mixture model
CE Rasmussen
Advances in neural information processing systems 12, 554-560, 2000
18032000
Gaussian processes for machine learning (GPML) toolbox
CE Rasmussen, H Nickisch
The Journal of Machine Learning Research 11, 3011-3015, 2010
12082010
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
8172015
Evaluation of Gaussian processes and other methods for non-linear regression
CE Rasmussen
University of Toronto, 1996
6651996
Infinite mixtures of Gaussian process experts
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 14 2, 881-888, 2002
6562002
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
640*2003
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
The Journal of Machine Learning Research 11, 1865-1881, 2010
5752010
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
567*2002
Approximations for binary Gaussian process classification
H Nickisch, CE Rasmussen
Journal of Machine Learning Research 9, 2035-2078, 2008
4822008
Warped Gaussian processes
E Snelson, CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 16, 337-344, 2004
4552004
Assessing approximate inference for binary Gaussian process classification
M Kuss, CE Rasmussen
The Journal of Machine Learning Research 6, 1679-1704, 2005
4132005
Additive Gaussian Processes
D Duvenaud, H Nickisch, CE Rasmussen
Neural Information Processing Systems 24, 226-234, 2012
4072012
Derivative observations in Gaussian process models of dynamic systems
E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen
MIT Press, 2003
4062003
Occam's razor
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems, 294-300, 2001
3902001
Bayesian monte Carlo
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 15, 489-496, 2003
367*2003
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