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Mike Tipping
Mike Tipping
Professor of Machine Learning, University of Bath, U.K. :: Advisor at HomeLink & Propflo
Verified email at miketipping.com - Homepage
Title
Cited by
Cited by
Year
Sparse Bayesian learning and the relevance vector machine
ME Tipping
Journal of machine learning research 1 (Jun), 211-244, 2001
84192001
Probabilistic principal component analysis
ME Tipping, CM Bishop
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999
48531999
Mixtures of probabilistic principal component analyzers
ME Tipping, CM Bishop
Neural computation 11 (2), 443-482, 1999
24421999
The Relevance Vector Machine
ME Tipping
Advances in neural information processing systems, 652-658, 2000
14682000
Fast marginal likelihood maximisation for sparse Bayesian models
ME Tipping, AC Faul
International workshop on artificial intelligence and statistics, 276-283, 2003
12972003
Use of the zero norm with linear models and kernel methods
J Weston, A Elisseeff, B Schölkopf, M Tipping
The Journal of Machine Learning Research 3, 1439-1461, 2003
10622003
Variational relevance vector machines
CM Bishop, M Tipping
arXiv preprint arXiv:1301.3838, 2013
5812013
Bayesian inference: An introduction to principles and practice in machine learning
ME Tipping
Summer School on Machine Learning, 41-62, 2003
4112003
Analysis of sparse Bayesian learning
AC Faul, ME Tipping
Advances in neural information processing systems 14, 383-389, 2002
3942002
Bayesian image super-resolution
M Tipping, C Bishop
Advances in neural information processing systems 15, 2002
3702002
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
3021998
Bayesian automatic relevance determination algorithms for classifying gene expression data
Y Li, C Campbell, M Tipping
Bioinformatics 18 (10), 1332-1339, 2002
2332002
Sparse kernel principal component analysis
ME Tipping
2312001
Bayesian regression and classification
CM Bishop, ME Tipping
Advances in learning theory: methods, models and applications, 267-285, 2003
2162003
Feed-forward neural networks and topographic mappings for exploratory data analysis
D Lowe, M Tipping
Neural Computing & Applications 4, 83-95, 1996
1621996
Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis
ME Tipping, ND Lawrence
Neurocomputing 69 (1), 123-141, 2005
1212005
Probabilistic visualisation of high-dimensional binary data
M Tipping
Advances in neural information processing systems 11, 1998
1091998
Neuroscale: Novel topographic feature extraction using RBF networks
D Lowe, M Tipping
Advances in neural information processing systems 9, 1996
1081996
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
882003
Shadow targets: a novel algorithm for topographic projections by radial basis functions
ME Tipping, D Lowe
Neurocomputing 19 (1-3), 211-222, 1998
601998
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