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Chris Williams
Chris Williams
Professor of Machine Learning, University of Edinburgh
E-mailová adresa ověřena na: inf.ed.ac.uk
Název
Citace
Citace
Rok
Gaussian processes for machine learning
CE Rasmussen, CKI Williams
MIT Press, 2006
281102006
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
24814*2010
Gaussian processes in machine learning
CE Rasmussen, CKI Williams
Lecture notes in computer science 3176, 63-71, 2004
35642004
Using the Nyström method to speed up kernel machines
C Williams, M Seeger
Advances in neural information processing systems 13, 2000
27322000
Advances in neural information processing systems
H Lyu, N Sha, S Qin, M Yan, Y Xie, R Wang
Advances in neural information processing systems 32, 2019
2222*2019
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
18191998
Gaussian processes for regression
C Williams, C Rasmussen
Advances in neural information processing systems 8, 1995
15281995
Multi-task Gaussian process prediction
EV Bonilla, K Chai, C Williams
Advances in neural information processing systems 20, 2007
12042007
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998
9521998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond
CKI Williams
Learning in graphical models, 599-621, 1998
8961998
Gaussian process for machine learning
CE Rasmussen, CKI Williams
MIT press, 2006
869*2006
Gaussian processes for machine learning, vol. 2
CK Williams, CE Rasmussen
MA: MIT press Cambridge, 2006
5922006
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
5802003
Computing with infinite networks
C Williams
Advances in neural information processing systems 9, 1996
525*1996
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
4962006
Regression with input-dependent noise: A Gaussian process treatment
P Goldberg, C Williams, C Bishop
Advances in neural information processing systems 10, 1997
3841997
Timing of surgery following SARS‐CoV‐2 infection: an international prospective cohort study
COVIDSurg Collaborative, GlobalSurg Collaborative, D Nepogodiev, ...
Anaesthesia 76 (6), 748-758, 2021
3472021
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
3412006
A framework for the quantitative evaluation of disentangled representations
C Eastwood, CKI Williams
International Conference on Learning Representations, 2018
3112018
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
3041996
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20