Search results for "Michael E. Tipping"

Found 17 publication records. Showing 17 according to the selection in the facets

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Michael E. Tipping, Neil D. Lawrence	Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis.	Neurocomputing	2005	DBLP DOI BibTeX RDF
1	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	2003	DBLP BibTeX RDF
1	Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping	Bayesian extension to the language model for ad hoc information retrieval.	SIGIR	2003	DBLP DOI BibTeX RDF	Bayesian language model, ad hoc language model, information retrieval, ad hoc retrieval
1	Michael E. Tipping	Bayesian Inference: An Introduction to Principles and Practice in Machine Learning.	Advanced Lectures on Machine Learning	2003	DBLP DOI BibTeX RDF
1	Michael E. Tipping, Christopher M. Bishop	Bayesian Image Super-Resolution.	NIPS	2002	DBLP BibTeX RDF
1	Michael E. Tipping	Sparse Bayesian Learning and the Relevance Vector Machine.	Journal of Machine Learning Research	2001	DBLP BibTeX RDF
1	Anita C. Faul, Michael E. Tipping	A Variational Approach to Robust Regression.	ICANN	2001	DBLP DOI BibTeX RDF
1	Anita C. Faul, Michael E. Tipping	Analysis of Sparse Bayesian Learning.	NIPS	2001	DBLP BibTeX RDF
1	Christopher M. Bishop, Michael E. Tipping	Variational Relevance Vector Machines.	UAI	2000	DBLP BibTeX RDF
1	Michael E. Tipping	Sparse Kernel Principal Component Analysis.	NIPS	2000	DBLP BibTeX RDF
1	Michael E. Tipping, Christopher M. Bishop	Mixtures of Probabilistic Principal Component Analysers.	Neural Computation	1999	DBLP DOI BibTeX RDF
1	Michael E. Tipping	The Relevance Vector Machine.	NIPS	1999	DBLP BibTeX RDF
1	Christopher M. Bishop, Michael E. Tipping	A Hierarchical Latent Variable Model for Data Visualization.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	hierarchical mixture model, clustering, principal component analysis, statistics, EM algorithm, data visualization, maximum likelihood, density estimation, factor analysis, Latent variables
1	Michael E. Tipping, David Lowe	Shadow targets: A novel algorithm for topographic projections by radial basis functions.	Neurocomputing	1998	DBLP DOI BibTeX RDF
1	Michael E. Tipping	Probabilistic Visualisation of High-Dimensional Binary Data.	NIPS	1998	DBLP BibTeX RDF
1	David Lowe, Michael E. Tipping	Feed-Forward Neural Networks and Topographic Mappings for Exploratory Data Analysis.	Neural Computing and Applications	1996	DBLP DOI BibTeX RDF
1	David Lowe, Michael E. Tipping	NeuroScale: Novel Topographic Feature Extraction using RBF Networks.	NIPS	1996	DBLP BibTeX RDF

Publications of "Michael E. Tipping" ( http://dblp.L3S.de/Authors/Michael_E._Tipping )