Michael E. Tipping

2005
17	EE	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	EE	Michael E. Tipping: Bayesian Inference: An Introduction to Principles and Practice in Machine Learning. Advanced Lectures on Machine Learning 2003: 41-62
15	EE	Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping: Bayesian extension to the language model for ad hoc information retrieval. SIGIR 2003: 4-9
14	EE	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	EE	Michael E. Tipping, Christopher M. Bishop: Bayesian Image Super-Resolution. NIPS 2002: 1279-1286
2001
12	EE	Anita C. Faul, Michael E. Tipping: A Variational Approach to Robust Regression. ICANN 2001: 95-102
11	EE	Anita C. Faul, Michael E. Tipping: Analysis of Sparse Bayesian Learning. NIPS 2001: 383-389
10	EE	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	EE	Christopher M. Bishop, Michael E. Tipping: Variational Relevance Vector Machines. UAI 2000: 46-53
1999
7	EE	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	EE	Michael E. Tipping: Probabilistic Visualisation of High-Dimensional Binary Data. NIPS 1998: 592-598
4	EE	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	EE	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	EE	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)

Coauthor Index

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