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Christopher M. Bishop
Christopher M. Bishop
Technical Fellow, Microsoft Research, Cambridge, U.K.
Adresse e-mail validée de microsoft.com - Page d'accueil
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Pattern recognition and machine learning
CM Bishop
springer 1, 740, 2006
639072006
Neural networks for pattern recognition
CM Bishop
Oxford university press, 1995
356351995
Probabilistic principal component analysis
ME Tipping, CM Bishop
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999
43861999
Mixtures of probabilistic principal component analyzers
ME Tipping, CM Bishop
Neural Computation 11 (2), 443–482, 1999
23241999
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
18281998
Training with noise is equivalent to Tikhonov regularization
CM Bishop
Neural computation 7 (1), 108-116, 1995
13761995
Mixture density networks
CM Bishop
Aston University, 1994
13711994
Pulsed neural networks
W Maass, CM Bishop
MIT press, 2001
12752001
Neural networks and their applications
CM Bishop
Review of scientific instruments 65 (6), 1803-1832, 1994
9181994
Novelty detection and neural network validation
CM Bishop
IEE Proceedings-Vision, Image and Signal processing 141 (4), 217-222, 1994
8811994
Variational message passing.
J Winn, CM Bishop, T Jaakkola
Journal of Machine Learning Research 6 (4), 2005
8352005
Bayesian image super resolution
ME Tipping, CM Bishop
Advances in Neural Information Processing Systems 15, 1303-1310, 2006
564*2006
Variational relevance vector machines
CM Bishop, M Tipping
arXiv preprint arXiv:1301.3838, 2013
5452013
Variational Bayesian model selection for mixture distributions
A Corduneanu, CM Bishop
Artificial intelligence and Statistics 2001, 27-34, 2001
4972001
Beyond atopy: multiple patterns of sensitization in relation to asthma in a birth cohort study
A Simpson, VYF Tan, J Winn, M Svensen, CM Bishop, DE Heckerman, ...
American journal of respiratory and critical care medicine 181 (11), 1200-1206, 2010
4772010
Bayesian pca
C Bishop
Advances in neural information processing systems 11, 1998
4641998
Improving the generalization properties of radial basis function neural networks
C Bishop
Neural computation 3 (4), 579-588, 1991
4621991
Principled hybrids of generative and discriminative models
JA Lasserre, CM Bishop, TP Minka
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
4162006
Graphical models
CM Bishop
Pattern recognition and machine learning 4, 359-422, 2006
4012006
SpringerLink (Service en ligne)
CM Bishop
Pattern recognition and machine learning 4, 2006
4002006
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