| 2005 | ||
|---|---|---|
| 17 | Michael E. Tipping, Neil D. Lawrence: Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis. Neurocomputing 69(1-3): 123-141 (2005) | |
| 2003 | ||
| 16 | Michael E. Tipping: Bayesian Inference: An Introduction to Principles and Practice in Machine Learning. Advanced Lectures on Machine Learning 2003: 41-62 | |
| 15 | Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping: Bayesian extension to the language model for ad hoc information retrieval. SIGIR 2003: 4-9 | |
| 14 | Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping: Use of the Zero-Norm with Linear Models and Kernel Methods. Journal of Machine Learning Research 3: 1439-1461 (2003) | |
| 2002 | ||
| 13 | Michael E. Tipping, Christopher M. Bishop: Bayesian Image Super-Resolution. NIPS 2002: 1279-1286 | |
| 2001 | ||
| 12 | Anita C. Faul, Michael E. Tipping: A Variational Approach to Robust Regression. ICANN 2001: 95-102 | |
| 11 | Anita C. Faul, Michael E. Tipping: Analysis of Sparse Bayesian Learning. NIPS 2001: 383-389 | |
| 10 | Michael E. Tipping: Sparse Bayesian Learning and the Relevance Vector Machine. Journal of Machine Learning Research 1: 211-244 (2001) | |
| 2000 | ||
| 9 | Michael E. Tipping: Sparse Kernel Principal Component Analysis. NIPS 2000: 633-639 | |
| 8 | Christopher M. Bishop, Michael E. Tipping: Variational Relevance Vector Machines. UAI 2000: 46-53 | |
| 1999 | ||
| 7 | Michael E. Tipping: The Relevance Vector Machine. NIPS 1999: 652-658 | |
| 6 | Michael E. Tipping, Christopher M. Bishop: Mixtures of Probabilistic Principal Component Analysers. Neural Computation 11(2): 443-482 (1999) | |
| 1998 | ||
| 5 | Michael E. Tipping: Probabilistic Visualisation of High-Dimensional Binary Data. NIPS 1998: 592-598 | |
| 4 | Christopher M. Bishop, Michael E. Tipping: A Hierarchical Latent Variable Model for Data Visualization. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 281-293 (1998) | |
| 3 | Michael E. Tipping, David Lowe: Shadow targets: A novel algorithm for topographic projections by radial basis functions. Neurocomputing 19(1-3): 211-222 (1998) | |
| 1996 | ||
| 2 | David Lowe, Michael E. Tipping: NeuroScale: Novel Topographic Feature Extraction using RBF Networks. NIPS 1996: 543-549 | |
| 1 | David Lowe, Michael E. Tipping: Feed-Forward Neural Networks and Topographic Mappings for Exploratory Data Analysis. Neural Computing and Applications 4(2): 83-95 (1996) | |
| 1 | Christopher M. Bishop | [4] [6] [8] [13] |
| 2 | André Elisseeff | [14] |
| 3 | Anita C. Faul | [11] [12] |
| 4 | Djoerd Hiemstra | [15] |
| 5 | Neil D. Lawrence | [17] |
| 6 | David Lowe (David B. Lowe) | [1] [2] [3] |
| 7 | Bernhard Schölkopf | [14] |
| 8 | Jason Weston | [14] |
| 9 | Hugo Zaragoza | [15] |
Colors in the list of coauthors
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