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Volodya Vovk: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk
    Loss Functions, Complexities, and the Legendre Transformation. [Citation Graph (0, 0)][DBLP]
    ALT, 2001, pp:181-189 [Conf]
  2. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Computationally Efficient Transductive Machines. [Citation Graph (0, 0)][DBLP]
    ALT, 2000, pp:325-333 [Conf]
  3. Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman
    Inductive Confidence Machines for Regression. [Citation Graph (0, 0)][DBLP]
    AMAI, 2002, pp:- [Conf]
  4. Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman
    Transductive Confidence Machines for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    AMAI, 2002, pp:- [Conf]
  5. Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alexander Gammerman
    Pattern Recognition and Density Estimation under the General i.i.d. Assumption. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:337-353 [Conf]
  6. 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]
  7. Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman
    Inductive Confidence Machines for Regression. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:345-356 [Conf]
  8. Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman
    Transductive Confidence Machines for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:381-390 [Conf]
  9. Ilia Nouretdinov, Thomas Melluish, Volodya Vovk
    Ridge Regression Confidence Machine. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:385-392 [Conf]
  10. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Ridge Regression Learning Algorithm in Dual Variables. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:515-521 [Conf]
  11. Volodya Vovk, Alexander Gammerman, Craig Saunders
    Machine-Learning Applications of Algorithmic Randomness. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:444-453 [Conf]
  12. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Transduction with Confidence and Credibility. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:722-726 [Conf]
  13. Volodya Vovk
    Competitive On-line Linear Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  14. Alexander Gammerman, Volodya Vovk
    Prediction algorithms and confidence measures based on algorithmic randomness theory. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:287, n:1, pp:209-217 [Journal]
  15. Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin
    Loss functions, complexities, and the Legendre transformation. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2004, v:313, n:2, pp:195-207 [Journal]
  16. Eiji Takimoto, Akira Maruoka, Volodya Vovk
    Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2001, v:261, n:1, pp:179-209 [Journal]

  17. Conformal Prediction with Neural Networks. [Citation Graph (, )][DBLP]


  18. Confidence Predictions for the Diagnosis of Acute Abdominal Pain. [Citation Graph (, )][DBLP]


  19. Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. [Citation Graph (, )][DBLP]


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