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Michael E. Tipping: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. Anita C. Faul, Michael E. Tipping
    A Variational Approach to Robust Regression. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:95-102 [Conf]
  3. Anita C. Faul, Michael E. Tipping
    Analysis of Sparse Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:383-389 [Conf]
  4. David Lowe, Michael E. Tipping
    NeuroScale: Novel Topographic Feature Extraction using RBF Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:543-549 [Conf]
  5. Michael E. Tipping
    Sparse Kernel Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:633-639 [Conf]
  6. Michael E. Tipping
    Probabilistic Visualisation of High-Dimensional Binary Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:592-598 [Conf]
  7. Michael E. Tipping
    The Relevance Vector Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:652-658 [Conf]
  8. Michael E. Tipping, Christopher M. Bishop
    Bayesian Image Super-Resolution. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1279-1286 [Conf]
  9. 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]
  10. Christopher M. Bishop, Michael E. Tipping
    Variational Relevance Vector Machines. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:46-53 [Conf]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]

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