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Christopher M. Bishop
Christopher M. Bishop
Technical Fellow, Microsoft Research, Cambridge, U.K.
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Pattern recognition and machine learning
CM Bishop
springer 1, 740, 2006
650242006
Neural networks for pattern recognition
CM Bishop
Oxford university press, 1995
358831995
Probabilistic principal component analysis
ME Tipping, CM Bishop
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999
44471999
Mixtures of probabilistic principal component analyzers
ME Tipping, CM Bishop
Neural Computation 11 (2), 443–482, 1999
23501999
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
18431998
Mixture density networks
CM Bishop
Aston University, 1994
14221994
Training with noise is equivalent to Tikhonov regularization
CM Bishop
Neural computation 7 (1), 108-116, 1995
14091995
Pulsed neural networks
W Maass, CM Bishop
MIT press, 2001
12822001
Neural networks and their applications
CM Bishop
Review of scientific instruments 65 (6), 1803-1832, 1994
9681994
Novelty detection and neural network validation
CM Bishop
IEE Proceedings-Vision, Image and Signal processing 141 (4), 217-222, 1994
8911994
Variational message passing.
J Winn, CM Bishop, T Jaakkola
Journal of Machine Learning Research 6 (4), 2005
8522005
Bayesian image super resolution
ME Tipping, CM Bishop
Advances in Neural Information Processing Systems 15, 1303-1310, 2006
567*2006
Variational relevance vector machines
CM Bishop, M Tipping
arXiv preprint arXiv:1301.3838, 2013
5472013
Variational Bayesian model selection for mixture distributions
A Corduneanu, CM Bishop
Artificial intelligence and Statistics 2001, 27-34, 2001
5032001
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
4842010
Bayesian pca
C Bishop
Advances in neural information processing systems 11, 1998
4711998
Improving the generalization properties of radial basis function neural networks
C Bishop
Neural computation 3 (4), 579-588, 1991
4651991
Principled hybrids of generative and discriminative models
JA Lasserre, CM Bishop, TP Minka
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
4192006
Graphical models
CM Bishop
Pattern recognition and machine learning 4, 359-422, 2006
4192006
SpringerLink (Service en ligne)
CM Bishop
Pattern recognition and machine learning 4, 2006
4012006
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