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Chris Williams
Chris Williams
Professor of Machine Learning, University of Edinburgh
Email verificata su inf.ed.ac.uk
Titolo
Citata da
Citata da
Anno
Gaussian processes for machine learning
CE Rasmussen, CKI Williams
MIT Press, 2006
29624*2006
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
216532010
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
57872015
Using the Nyström method to speed up kernel machines
C Williams, M Seeger
Advances in neural information processing systems 13, 2000
28312000
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
18441998
Gaussian processes for regression
C Williams, C Rasmussen
Advances in neural information processing systems 8, 1995
15881995
Multi-task Gaussian process prediction
EV Bonilla, K Chai, C Williams
Advances in neural information processing systems 20, 2007
12512007
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998
9761998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond
CKI Williams
Learning in graphical models, 599-621, 1998
9151998
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
5962003
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
5022006
Regression with input-dependent noise: A Gaussian process treatment
P Goldberg, C Williams, C Bishop
Advances in neural information processing systems 10, 1997
3981997
The pascal visual object classes challenge 2007 (voc 2007) results (2007)
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
3722008
Computing with infinite networks
C Williams
Advances in neural information processing systems 9, 1996
3581996
A framework for the quantitative evaluation of disentangled representations
C Eastwood, CKI Williams
International Conference on Learning Representations, 2018
3552018
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006
3502006
On a connection between kernel PCA and metric multidimensional scaling
C Williams
Advances in neural information processing systems 13, 2000
3312000
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
3052006
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
3042011
The PASCAL visual object classes challenge 2009 (VOC2009) results
M Everingham
http://www. pascal-network. org/challenges/VOC/voc2009/workshop/index. html, 2007
274*2007
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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