Chris Williams
Chris Williams
Professor of Machine Learning, University of Edinburgh
在 inf.ed.ac.uk 的電子郵件地址已通過驗證
標題引用次數年份
Gaussian processes for machine learning
CE Rasmussen, CKI Williams
MIT Press, 2006
166732006
Gaussian process for machine learning
CE Rasmussen, CKI Williams
MIT press, 2006
166512006
The PASCAL Visual Object Classes (VOC) challenge
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
Int J Computer Vision 88 (2), 303-338, 2010
75282010
The PASCAL visual object classes challenge 2007 (VOC2007) results
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
22982007
The pascal visual object classes challenge: A retrospective
M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ...
International journal of computer vision 111 (1), 98-136, 2015
20812015
Using the Nyström method to speed up kernel machines
CKI Williams, M Seeger
Advances in neural information processing systems, 682-688, 2001
19762001
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
16251998
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in neural information processing systems, 514-520, 1996
10621996
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (12), 1342 …, 1998
7451998
Multi-task Gaussian process prediction
EV Bonilla, KM Chai, C Williams
Advances in neural information processing systems, 153-160, 2008
7322008
Prediction with Gaussian processes: From linear regression to linear prediction and beyond
CKI Williams
Learning in graphical models, 599-621, 1998
6711998
Gaussian processes for machine learning
CKI Williams, CE Rasmussen
MIT press 2 (3), 4, 2006
6112006
Using machine learning to focus iterative optimization
F Agakov, E Bonilla, J Cavazos, B Franke, G Fursin, MFP O'Boyle, ...
International Symposium on Code Generation and Optimization (CGO'06), 11 pp.-305, 2006
4192006
Fast forward selection to speed up sparse Gaussian process regression
M Seeger, C Williams, N Lawrence
Artificial Intelligence and Statistics 9, 2003
4072003
Gaussian processes for machine learning, vol. 1
CE Rasmussen, CK Williams
MIT press 39, 40-43, 2006
3402006
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges Workshop, 117-176, 2005
2752005
Regression with input-dependent noise: A Gaussian process treatment
PW Goldberg, CKI Williams, CM Bishop
Advances in neural information processing systems, 493-499, 1998
2701998
Dataset issues in object recognition
J Ponce, TL Berg, M Everingham, DA Forsyth, M Hebert, S Lazebnik, ...
Toward category-level object recognition, 29-48, 2006
2422006
Developments of the generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neurocomputing 21 (1-3), 203-224, 1998
2201998
GTM: A principled alternative to the self-organizing map
CM Bishop, M Svensén, CKI Williams
Advances in neural information processing systems, 354-360, 1997
2171997
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