Tipping, Michael E.

11 publications

AISTATS 2003 Fast Marginal Likelihood Maximisation for Sparse Bayesian Models Michael E. Tipping, Anita C. Faul

NeurIPS 2002 Bayesian Image Super-Resolution Michael E. Tipping, Christopher M. Bishop

AISTATS 2001 A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds Michael E. Tipping, Bernhard Schölkopf

NeurIPS 2001 Analysis of Sparse Bayesian Learning Anita C. Faul, Michael E. Tipping

JMLR 2001 Sparse Bayesian Learning and the Relevance Vector Machine Michael E. Tipping

NeurIPS 2000 Sparse Kernel Principal Component Analysis Michael E. Tipping

UAI 2000 Variational Relevance Vector Machines Christopher M. Bishop, Michael E. Tipping

NeCo 1999 Mixtures of Probabilistic Principal Component Analysers Michael E. Tipping, Christopher M. Bishop

NeurIPS 1999 The Relevance Vector Machine Michael E. Tipping

NeurIPS 1998 Probabilistic Visualisation of High-Dimensional Binary Data Michael E. Tipping

NeurIPS 1996 NeuroScale: Novel Topographic Feature Extraction Using RBF Networks David Lowe, Michael E. Tipping