| Pattern recognition and machine learning CM Bishop springer 1, 740, 2006 | 76896 | 2006 |
| Neural networks for pattern recognition CM Bishop Clarendon Press google schola 2, 223-228, 1995 | 37679 | 1995 |
| Probabilistic principal component analysis ME Tipping, CM Bishop Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999 | 4986 | 1999 |
| Mixtures of probabilistic principal component analyzers ME Tipping, CM Bishop Neural Computation 11 (2), 443–482, 1999 | 2494 | 1999 |
| GTM: The generative topographic mapping CM Bishop, M Svensén, CKI Williams Neural computation 10 (1), 215-234, 1998 | 1933 | 1998 |
| Mixture density networks CM Bishop Aston University, 1994 | 1846 | 1994 |
| Training with noise is equivalent to Tikhonov regularization CM Bishop Neural computation 7 (1), 108-116, 1995 | 1714 | 1995 |
| Pulsed neural networks W Maass, CM Bishop MIT press, 2001 | 1377 | 2001 |
| Neural networks and their applications CM Bishop Review of scientific instruments 65 (6), 1803-1832, 1994 | 1342 | 1994 |
| Novelty detection and neural network validation CM Bishop IEE Proceedings-Vision, Image and Signal processing 141 (4), 217-222, 1994 | 961 | 1994 |
| Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005 | 956 | 2005 |
| 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 | 591 | 2013 |
| Variational Bayesian model selection for mixture distributions A Corduneanu, CM Bishop Artificial intelligence and Statistics 2001, 27-34, 2001 | 535 | 2001 |
| 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 | 517 | 2010 |
| Bayesian pca C Bishop Advances in neural information processing systems 11, 1998 | 513 | 1998 |
| Improving the generalization properties of radial basis function neural networks C Bishop Neural computation 3 (4), 579-588, 1991 | 483 | 1991 |
| Regression with input-dependent noise: A Gaussian process treatment P Goldberg, C Williams, C Bishop Advances in neural information processing systems 10, 1997 | 466 | 1997 |
| Principled hybrids of generative and discriminative models JA Lasserre, CM Bishop, TP Minka 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 454 | 2006 |
