追蹤
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
引用次數
年份
Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
the MIT Press, 2006
367242006
A unifying view of sparse approximate Gaussian process regression
J Quiñonero-Candela, CE Rasmussen
The Journal of Machine Learning Research 6, 1939-1959, 2005
26532005
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
21242011
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in Neural Processing Systems 8, 514 - 520, 1996
20441996
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
13392010
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems 14, 577-584, 2002
8972002
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
8882015
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
688*2003
Infinite mixtures of Gaussian process experts
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 14 2, 881-888, 2002
6782002
Evaluation of Gaussian processes and other methods for non-linear regression
CE Rasmussen
University of Toronto Toronto, Canada, 1997
6751997
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
The Journal of Machine Learning Research 11, 1865-1881, 2010
6202010
Approximations for binary Gaussian process classification
H Nickisch, CE Rasmussen
Journal of Machine Learning Research 9 (Oct), 2035-2078, 2008
5112008
Warped Gaussian processes
E Snelson, CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 16, 337-344, 2004
4762004
Gaussian Processes in Machine Learning
CE Rasmussen
Summer school on machine learning, 63-71, 2003
470*2003
Additive Gaussian Processes
D Duvenaud, H Nickisch, CE Rasmussen
Neural Information Processing Systems 24, 226-234, 2012
4462012
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
4292005
Occam's razor
C Rasmussen, Z Ghahramani
Advances in neural information processing systems 13, 2000
4192000
Bayesian monte Carlo
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 15, 489-496, 2003
389*2003
系統目前無法執行作業，請稍後再試。
文章 1–20