Theo dõi
Chris Williams
Chris Williams
Professor of Machine Learning, University of Edinburgh
Email được xác minh tại inf.ed.ac.uk
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
245882010
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, 98-136, 2015
111642015
Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
MIT Press, 2006
6612*2006
Using the Nyström method to speed up kernel machines
C Williams, M Seeger
Advances in neural information processing systems 13, 2000
31642000
Gaussian processes for regression
C Williams, C Rasmussen
Advances in neural information processing systems 8, 1995
20521995
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
19501998
Multi-task Gaussian process prediction
EV Bonilla, K Chai, C Williams
Advances in neural information processing systems 20, 2007
15562007
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998
10861998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond
CKI Williams
Learning in graphical models, 599-621, 1998
10071998
Advances in neural information processing systems
CKI Williams, CE Rasmussen
Nobili F, Mazzei D, Dessi B, Morbelli S, Brugnolo A, Barbieri P, 18131821, 1996
8791996
Fast forward selection to speed up sparse Gaussian process regression
MW Seeger, CKI Williams, ND Lawrence
International Workshop on Artificial Intelligence and Statistics, 254-261, 2003
6752003
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
5362006
A framework for the quantitative evaluation of disentangled representations
C Eastwood, CKI Williams
6th International Conference on Learning Representations, 2018
5202018
Computing with infinite networks
C Williams
Advances in neural information processing systems 9, 1996
4901996
Regression with input-dependent noise: A Gaussian process treatment
P Goldberg, C Williams, C Bishop
Advances in neural information processing systems 10, 1997
4741997
On a connection between kernel PCA and metric multidimensional scaling
C Williams
Advances in neural information processing systems 13, 2000
3542000
Milepost gcc: Machine learning enabled self-tuning compiler
G Fursin, Y Kashnikov, AW Memon, Z Chamski, O Temam, M Namolaru, ...
International journal of parallel programming 39, 296-327, 2011
3402011
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
3192006
Covariance functions
CE Rasmussen, CKI Williams
MIT press, 2005
3032005
Developments of the generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neurocomputing 21 (1-3), 203-224, 1998
2831998
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