| Sparse Bayesian learning and the relevance vector machine ME Tipping Journal of machine learning research 1 (Jun), 211-244, 2001 | 8783 | 2001 |
| Probabilistic principal component analysis ME Tipping, CM Bishop Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999 | 5134 | 1999 |
| Mixtures of probabilistic principal component analyzers ME Tipping, CM Bishop Neural computation 11 (2), 443-482, 1999 | 2515 | 1999 |
| The Relevance Vector Machine ME Tipping Advances in neural information processing systems, 652-658, 2000 | 1528 | 2000 |
| Fast marginal likelihood maximisation for sparse Bayesian models ME Tipping, AC Faul International workshop on artificial intelligence and statistics, 276-283, 2003 | 1351 | 2003 |
| Use of the zero-norm with linear models and kernel methods J Weston, A Elisseeff, B Schölkopf, M Tipping Journal of machine learning research 3 (Mar), 1439-1461, 2003 | 1084 | 2003 |
| Variational relevance vector machines CM Bishop, M Tipping arXiv preprint arXiv:1301.3838, 2013 | 598 | 2013 |
| Bayesian inference: An introduction to principles and practice in machine learning ME Tipping Summer School on Machine Learning, 41-62, 2003 | 427 | 2003 |
| Analysis of sparse Bayesian learning AC Faul, ME Tipping Advances in neural information processing systems 14, 383-389, 2002 | 412 | 2002 |
| Bayesian image super-resolution M Tipping, C Bishop Advances in neural information processing systems 15, 2002 | 380 | 2002 |
| A hierarchical latent variable model for data visualization CM Bishop, ME Tipping IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (3), 281-293, 1998 | 311 | 1998 |
| Bayesian automatic relevance determination algorithms for classifying gene expression data Y Li, C Campbell, M Tipping Bioinformatics 18 (10), 1332-1339, 2002 | 234 | 2002 |
| Sparse kernel principal component analysis ME Tipping | 234 | 2001 |
| Bayesian Regression and CM Bishop, ME Tipping Advances in Learning Theory: Methods, Models, and Applications 190, 267, 2003 | 224 | 2003 |
| Feed-forward neural networks and topographic mappings for exploratory data analysis D Lowe, M Tipping Neural Computing & Applications 4, 83-95, 1996 | 165 | 1996 |
| Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis ME Tipping, ND Lawrence Neurocomputing 69 (1), 123-141, 2005 | 122 | 2005 |
| Probabilistic visualisation of high-dimensional binary data M Tipping Advances in neural information processing systems 11, 1998 | 112 | 1998 |
| Neuroscale: Novel topographic feature extraction using RBF networks D Lowe, M Tipping Advances in neural information processing systems 9, 1996 | 110 | 1996 |
| Bayesian extension to the language model for ad hoc information retrieval H Zaragoza, D Hiemstra, M Tipping Proceedings of the 26th annual international ACM SIGIR conference on …, 2003 | 88 | 2003 |
| Shadow targets: a novel algorithm for topographic projections by radial basis functions ME Tipping, D Lowe Neurocomputing 19 (1-3), 211-222, 1998 | 59 | 1998 |
Christopher M. BishopTechnical Fellow, Microsoft Research, Cambridge, U.K.Verified email at microsoft.com
