Carl Edward Rasmussen
Carl Edward Rasmussen
Professor of Machine Learning, University of Cambridge
在 cam.ac.uk 的電子郵件地址已通過驗證 - 首頁
標題引用次數年份
Gaussian processes in machine learning
CE Rasmussen
Advanced Lectures on Machine Learning, 63-71, 2004
163062004
Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
the MIT Press, 2006
162782006
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems 14, 577-584, 2002
2125*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
12632005
The infinite Gaussian mixture model
CE Rasmussen
Advances in neural information processing systems 12, 554-560, 2000
11752000
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in Neural Processing Systems 8, 514 - 520, 1996
10421996
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
6992011
Gaussian processes for machine learning (GPML) toolbox
CE Rasmussen, H Nickisch
The Journal of Machine Learning Research 11, 3011-3015, 2010
6002010
Evaluation of Gaussian processes and other methods for non-linear regression
CE Rasmussen
University of Toronto, 1996
5141996
Infinite mixtures of Gaussian process experts
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 14 2, 881-888, 2002
4352002
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
405*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
343*2002
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
3422015
Assessing approximate inference for binary Gaussian process classification
M Kuss, CE Rasmussen
The Journal of Machine Learning Research 6, 1679-1704, 2005
3092005
Approximations for binary Gaussian process classification
H Nickisch, CE Rasmussen
Journal of Machine Learning Research 9, 2035-2078, 2008
2962008
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
The Journal of Machine Learning Research 11, 1865-1881, 2010
285*2010
Warped Gaussian processes
E Snelson, CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 16, 337-344, 2004
2562004
Derivative observations in Gaussian process models of dynamic systems
E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen
MIT Press, 2003
2372003
Gaussian Processes in Reinforcement Learning
M Kuss, CE Rasmussen
Advances in Neural Information Processing Systems, None, 2003
2282003
Bayesian monte Carlo
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 15, 489-496, 2003
227*2003
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