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Craig Saunders: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
    A Correlation Approach for Automatic Image Annotation. [Citation Graph (0, 0)][DBLP]
    ADMA, 2006, pp:681-692 [Conf]
  2. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Computationally Efficient Transductive Machines. [Citation Graph (0, 0)][DBLP]
    ALT, 2000, pp:325-333 [Conf]
  3. Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk
    Comparing the Bayes and Typicalness Frameworks. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:360-371 [Conf]
  4. Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer
    Using String Kernels to Identify Famous Performers from Their Playing Style. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:384-395 [Conf]
  5. Alexei Vinokourov, Andrei N. Soklakov, Craig Saunders
    A probabilistic framework for mismatch and profile string kernels. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:325-330 [Conf]
  6. Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
    Learning hierarchical multi-category text classification models. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:744-751 [Conf]
  7. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Ridge Regression Learning Algorithm in Dual Variables. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:515-521 [Conf]
  8. Craig Saunders, Hauke Tschach, John Shawe-Taylor
    Syllables and other String Kernel Extensions. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:530-537 [Conf]
  9. Volodya Vovk, Alexander Gammerman, Craig Saunders
    Machine-Learning Applications of Algorithmic Randomness. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:444-453 [Conf]
  10. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Transduction with Confidence and Credibility. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:722-726 [Conf]
  11. Craig Saunders, John Shawe-Taylor, Alexei Vinokourov
    String Kernels, Fisher Kernels and Finite State Automata. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:633-640 [Conf]
  12. Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
    Text Classification using String Kernels. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:419-444 [Journal]
  13. Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
    Kernel-Based Learning of Hierarchical Multilabel Classification Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1601-1626 [Journal]
  14. Barbara Hammer, Craig Saunders, Alessandro Sperduti
    Special issue on neural networks and kernel methods for structured domains. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:8, pp:1015-1018 [Journal]

  15. Voted Spheres: An Online, Fast Approach to Large Scale Learning. [Citation Graph (, )][DBLP]


  16. Can relevance of images be inferred from eye movements? [Citation Graph (, )][DBLP]


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