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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
768952006
Neural networks for pattern recognition
CM Bishop
Oxford university press, 1995
376841995
Probabilistic principal component analysis
ME Tipping, CM Bishop
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999
49871999
Mixtures of probabilistic principal component analyzers
ME Tipping, CM Bishop
Neural Computation 11 (2), 443–482, 1999
24941999
GTM: The generative topographic mapping
CM Bishop, M Svensén, CKI Williams
Neural computation 10 (1), 215-234, 1998
19331998
Mixture density networks
CM Bishop
Aston University, 1994
18481994
Training with noise is equivalent to Tikhonov regularization
CM Bishop
Neural computation 7 (1), 108-116, 1995
17151995
Pulsed neural networks
W Maass, CM Bishop
MIT press, 2001
13772001
Neural networks and their applications
CM Bishop
Review of scientific instruments 65 (6), 1803-1832, 1994
13461994
Novelty detection and neural network validation
CM Bishop
IEE Proceedings-Vision, Image and Signal processing 141 (4), 217-222, 1994
9621994
Variational message passing.
J Winn, CM Bishop, T Jaakkola
Journal of Machine Learning Research 6 (4), 2005
9562005
Nasrabadi
CM Bishop, M Nasser
Pattern recognition and machine learning 1, 0
701
Bayesian image super resolution
ME Tipping, CM Bishop
Advances in Neural Information Processing Systems 15, 1303-1310, 2006
599*2006
Variational relevance vector machines
CM Bishop, M Tipping
arXiv preprint arXiv:1301.3838, 2013
5912013
Variational Bayesian model selection for mixture distributions
A Corduneanu, CM Bishop
Artificial intelligence and Statistics 2001, 27-34, 2001
5352001
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
5182010
Bayesian pca
C Bishop
Advances in neural information processing systems 11, 1998
5131998
Improving the generalization properties of radial basis function neural networks
C Bishop
Neural computation 3 (4), 579-588, 1991
4831991
Regression with input-dependent noise: A Gaussian process treatment
P Goldberg, C Williams, C Bishop
Advances in neural information processing systems 10, 1997
4661997
Principled hybrids of generative and discriminative models
JA Lasserre, CM Bishop, TP Minka
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
4542006
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