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Alexander Gammerman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Computationally Efficient Transductive Machines. [Citation Graph (0, 0)][DBLP]
    ALT, 2000, pp:325-333 [Conf]
  2. Ilia Nouretdinov, Vladimir V'yugin, Alexander Gammerman
    Transductive Confidence Machine Is Universal. [Citation Graph (0, 0)][DBLP]
    ALT, 2003, pp:283-297 [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. Alexander Gammerman, Tony Bellotti
    Experiments Using Minimal-Length Encoding to Solve Machine Learning Problems. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1992, pp:359-367 [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. Zhiyuan Luo, Alexander Gammerman
    Qualified Probabilistic Predictions Using Graphical Models. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:111-122 [Conf]
  10. Zhiyuan Luo, Alexander Gammerman
    Press - A Probabilistic Reasoning Expert System Shell. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1991, pp:232-237 [Conf]
  11. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Ridge Regression Learning Algorithm in Dual Variables. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:515-521 [Conf]
  12. Volodya Vovk, Alexander Gammerman, Craig Saunders
    Machine-Learning Applications of Algorithmic Randomness. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:444-453 [Conf]
  13. Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerman
    Testing Exchangeability On-Line. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:768-775 [Conf]
  14. Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman
    Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:159-163 [Conf]
  15. Tony Bellotti, Zhiyuan Luo, Alexander Gammerman
    Strangeness Minimisation Feature Selection with Confidence Machines. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:978-985 [Conf]
  16. Zhiyuan Luo, Tony Bellotti, Alexander Gammerman
    Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:46-51 [Conf]
  17. Craig Saunders, Alexander Gammerman, Volodya Vovk
    Transduction with Confidence and Credibility. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:722-726 [Conf]
  18. Zhiyuan Luo, Alexander Gammerman
    STOSS - A Stochastic Simulation System for Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    IPMU, 1990, pp:97-105 [Conf]
  19. Alexander Gammerman, Katy S. Azoury, Vladimir Vapnik
    Learning by Transduction. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:148-155 [Conf]
  20. Alexander Gammerman
    The representation and manipulation of the algorithmic probability measure for problem solving. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 1991, v:4, n:, pp:281-300 [Journal]
  21. Alexander Gammerman, Vladimir Vovk
    Kolmogorov Complexity: Sources, Theory and Applications. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1999, v:42, n:4, pp:252-255 [Journal]
  22. Vladimir Vovk, Alexander Gammerman
    Complexity Approximation Principle. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1999, v:42, n:4, pp:318-322 [Journal]
  23. X. Liu, Alexander Gammerman
    A Hybrid Approach to Deductive Uncertain Inference. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1988, v:28, n:6, pp:671-681 [Journal]
  24. Tony Bellotti, Zhiyuan Luo, Alexander Gammerman, Frederick W. Van Delft, Vaskar Saha
    Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2005, v:15, n:4, pp:247-258 [Journal]
  25. 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]
  26. Boris Ryabko, Jaakko Astola, Alexander Gammerman
    Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2006, v:359, n:1-3, pp:440-448 [Journal]
  27. Steven Busuttil, Yuri Kalnishkan, Alexander Gammerman
    Improving the aggregating algorithm for regression. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2007, pp:379-384 [Conf]
  28. Alexander Gammerman, Yuri Kalnishkan, Vladimir Vovk
    On-line Prediction with Kernels and the Complexity Approximation Principle. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:170-176 [Conf]
  29. Alexander Gammerman, Vladimir Vovk
    Rejoinder Hedging Predictions in Machine Learning. [Citation Graph (0, 0)][DBLP]
    Comput. J., 2007, v:50, n:2, pp:173-177 [Journal]
  30. Alexander Gammerman, Vladimir Vovk
    Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. [Citation Graph (0, 0)][DBLP]
    Comput. J., 2007, v:50, n:2, pp:151-163 [Journal]
  31. Alexander Gammerman, Vladimir Vovk
    Hedging predictions in machine learning [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  32. Online Prediction of Ovarian Cancer. [Citation Graph (, )][DBLP]


  33. Confidence Machine and Its Application to Medical Diagnosis. [Citation Graph (, )][DBLP]


  34. Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series.. [Citation Graph (, )][DBLP]


  35. Conditional Prediction Intervals for Linear Regression. [Citation Graph (, )][DBLP]


  36. Application of Inductive Confidence Machine to ICMLA Competition Data. [Citation Graph (, )][DBLP]


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


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


  39. Cancer informatics by prototype networks in mass spectrometry. [Citation Graph (, )][DBLP]


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


  41. Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series [Citation Graph (, )][DBLP]


  42. Online prediction of ovarian cancer [Citation Graph (, )][DBLP]


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