Michael E. Tipping

Publication Activity (10 Years)

Years Active: 1996-2021
Publications (10 Years): 1

Top Venues

CoRR

Eur. J. Oper. Res.

Aston University, Birmingham, UK (PHD)

Education History

Aston University, Birmingham, UK

PHD

Publications

Ross Hollyman, Fotios Petropoulos, Michael E. Tipping
Understanding forecast reconciliation. Eur. J. Oper. Res. 294 (1) (2021)
Christopher M. Bishop, Michael E. Tipping
Variational Relevance Vector Machines CoRR (2013)
Michael E. Tipping, Neil D. Lawrence
models: Robust Bayesian interpolation and generalised component analysis. Neurocomputing 69 (1-3) (2005)
Michael E. Tipping, Neil D. Lawrence
A variational approach to robust Bayesian interpolation. NNSP (2003)
Michael E. Tipping, Anita C. Faul
Fast Marginal Likelihood Maximisation for Sparse Bayesian Models. AISTATS (2003)
Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping
Use of the Zero-Norm with Linear Models and Kernel Methods. J. Mach. Learn. Res. 3 (2003)
Michael E. Tipping
Bayesian Inference: An Introduction to Principles and Practice in Machine Learning. Advanced Lectures on Machine Learning (2003)
Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping
Bayesian extension to the language model for ad hoc information retrieval. SIGIR (2003)
Michael E. Tipping, Christopher M. Bishop
Bayesian Image Super-Resolution. NIPS (2002)
Michael E. Tipping, Bernhard Schölkopf
A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds. AISTATS (2001)
Anita C. Faul, Michael E. Tipping
Analysis of Sparse Bayesian Learning. NIPS (2001)
Michael E. Tipping
Sparse Bayesian Learning and the Relevance Vector Machine. J. Mach. Learn. Res. 1 (2001)
Anita C. Faul, Michael E. Tipping
A Variational Approach to Robust Regression. ICANN (2001)
Michael E. Tipping
Sparse Kernel Principal Component Analysis. NIPS (2000)
Christopher M. Bishop, Michael E. Tipping
Variational Relevance Vector Machines. UAI (2000)
Michael E. Tipping, Christopher M. Bishop
Mixtures of Probabilistic Principal Component Analysers. Neural Comput. 11 (2) (1999)
Michael E. Tipping
The Relevance Vector Machine. NIPS (1999)
Christopher M. Bishop, Michael E. Tipping
A Hierarchical Latent Variable Model for Data Visualization. IEEE Trans. Pattern Anal. Mach. Intell. 20 (3) (1998)
Michael E. Tipping
Probabilistic Visualisation of High-Dimensional Binary Data. NIPS (1998)
Michael E. Tipping, David Lowe
Shadow targets: A novel algorithm for topographic projections by radial basis functions. Neurocomputing 19 (1-3) (1998)
David Lowe, Michael E. Tipping
Feed-Forward Neural Networks and Topographic Mappings for Exploratory Data Analysis. Neural Comput. Appl. 4 (2) (1996)
David Lowe, Michael E. Tipping
NeuroScale: Novel Topographic Feature Extraction using RBF Networks. NIPS (1996)

Michael E. Tipping.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

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Michael E. Tipping