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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
33341*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
216292010
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
65732015
The PASCAL visual object classes challenge 2008 (VOC2008) results
M Everingham
http://www. pascal-network. org/challenges/VOC/voc2008/year= workshop/index …, 2008
35252008
Using the Nyström method to speed up kernel machines
C Williams, M Seeger
Advances in neural information processing systems 13, 2000
29722000
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
18841998
Gaussian processes for regression
C Williams, C Rasmussen
Advances in neural information processing systems 8, 1995
17441995
Multi-task Gaussian process prediction
EV Bonilla, K Chai, C Williams
Advances in neural information processing systems 20, 2007
13902007
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998
10111998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond
CKI Williams
Learning in graphical models, 599-621, 1998
9681998
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
6442003
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
5192006
Regression with input-dependent noise: A Gaussian process treatment
P Goldberg, C Williams, C Bishop
Advances in neural information processing systems 10, 1997
4351997
A framework for the quantitative evaluation of disentangled representations
C Eastwood, CKI Williams
International conference on learning representations, 2018
4332018
Computing with infinite networks
C Williams
Advances in neural information processing systems 9, 1996
4051996
The pascal visual object classes challenge 2007 (voc 2007) results (2007)
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
3922008
On a connection between kernel PCA and metric multidimensional scaling
C Williams
Advances in neural information processing systems 13, 2000
3422000
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
3202011
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
3132006
The shape boltzmann machine: a strong model of object shape
SMA Eslami, N Heess, CKI Williams, J Winn
International journal of computer vision 107, 155-176, 2014
2712014
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20