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Michael E. Tipping :
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Michael E. Tipping Bayesian Inference: An Introduction to Principles and Practice in Machine Learning. [Citation Graph (0, 0)][DBLP ] Advanced Lectures on Machine Learning, 2003, pp:41-62 [Conf ] Anita C. Faul , Michael E. Tipping A Variational Approach to Robust Regression. [Citation Graph (0, 0)][DBLP ] ICANN, 2001, pp:95-102 [Conf ] Anita C. Faul , Michael E. Tipping Analysis of Sparse Bayesian Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2001, pp:383-389 [Conf ] David Lowe , Michael E. Tipping NeuroScale: Novel Topographic Feature Extraction using RBF Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:543-549 [Conf ] Michael E. Tipping Sparse Kernel Principal Component Analysis. [Citation Graph (0, 0)][DBLP ] NIPS, 2000, pp:633-639 [Conf ] Michael E. Tipping Probabilistic Visualisation of High-Dimensional Binary Data. [Citation Graph (0, 0)][DBLP ] NIPS, 1998, pp:592-598 [Conf ] Michael E. Tipping The Relevance Vector Machine. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:652-658 [Conf ] Michael E. Tipping , Christopher M. Bishop Bayesian Image Super-Resolution. [Citation Graph (0, 0)][DBLP ] NIPS, 2002, pp:1279-1286 [Conf ] Hugo Zaragoza , Djoerd Hiemstra , Michael E. Tipping Bayesian extension to the language model for ad hoc information retrieval. [Citation Graph (0, 0)][DBLP ] SIGIR, 2003, pp:4-9 [Conf ] Christopher M. Bishop , Michael E. Tipping Variational Relevance Vector Machines. [Citation Graph (0, 0)][DBLP ] UAI, 2000, pp:46-53 [Conf ] Michael E. Tipping , Neil D. Lawrence Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2005, v:69, n:1-3, pp:123-141 [Journal ] Michael E. Tipping , David Lowe Shadow targets: A novel algorithm for topographic projections by radial basis functions. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 1998, v:19, n:1-3, pp:211-222 [Journal ] Michael E. Tipping Sparse Bayesian Learning and the Relevance Vector Machine. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2001, v:1, n:, pp:211-244 [Journal ] Jason Weston , André Elisseeff , Bernhard Schölkopf , Michael E. Tipping Use of the Zero-Norm with Linear Models and Kernel Methods. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2003, v:3, n:, pp:1439-1461 [Journal ] David Lowe , Michael E. Tipping Feed-Forward Neural Networks and Topographic Mappings for Exploratory Data Analysis. [Citation Graph (0, 0)][DBLP ] Neural Computing and Applications, 1996, v:4, n:2, pp:83-95 [Journal ] Michael E. Tipping , Christopher M. Bishop Mixtures of Probabilistic Principal Component Analysers. [Citation Graph (0, 0)][DBLP ] Neural Computation, 1999, v:11, n:2, pp:443-482 [Journal ] Christopher M. Bishop , Michael E. Tipping A Hierarchical Latent Variable Model for Data Visualization. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:3, pp:281-293 [Journal ] Search in 0.002secs, Finished in 0.002secs