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Chris Williams
Chris Williams
Professor of Machine Learning, University of Edinburgh
Dirección de correo verificada de inf.ed.ac.uk
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Citado por
Citado por
Año
Gaussian processes for machine learning
CE Rasmussen, CKI Williams
MIT Press, 2006
283192006
Gaussian process for machine learning
CE Rasmussen, CKI Williams
MIT press, 2006
266132006
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
19080*2010
Using the Nyström method to speed up kernel machines
C Williams, M Seeger
Advances in neural information processing systems 13, 2000
26062000
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
17851998
Gaussian processes for regression
C Williams, C Rasmussen
Advances in neural information processing systems 8, 1995
14471995
Multi-task Gaussian process prediction
EV Bonilla, K Chai, C Williams
Advances in neural information processing systems 20, 2007
11102007
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998
9151998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond
CKI Williams
Learning in graphical models, 599-621, 1998
8571998
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
5492003
Proceedings of the 32nd International Conference on Neural Information Processing Systems
S Bengio, HM Wallach, H Larochelle, K Grauman, N Cesa-Bianchi
Curran Associates Inc., 2018
534*2018
Computing with infinite networks
C Williams
Advances in neural information processing systems 9, 1996
4881996
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
4842006
Gaussian processes for machine learning, vol. 2
CK Williams, CE Rasmussen
MA: MIT press Cambridge, 2006
4702006
Regression with input-dependent noise: A Gaussian process treatment
P Goldberg, C Williams, C Bishop
Advances in neural information processing systems 10, 1997
3661997
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, LV Gool, M Allan, CM Bishop, ...
Machine Learning Challenges Workshop, 117-176, 2005
3252005
Resin infusion under flexible tooling (RIFT): a review
C Williams, J Summerscales, S Grove
Composites Part A: Applied Science and Manufacturing 27 (7), 517-524, 1996
2951996
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
2902006
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 (3), 296-327, 2011
2832011
A framework for the quantitative evaluation of disentangled representations
C Eastwood, CKI Williams
International Conference on Learning Representations, 2018
2632018
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Artículos 1–20