Márta Pintér

  1. On the Rate of Convergence of Error Estimates for the Partitioning Classification Rule, Theoretical Computer Science, 284(1), pp. 181-196, 2002.

  2. Prediction from randomly right censored data, Journal of Multivariate Analysis, 80, pp. 73-100, 2002. (with Michael Kohler and Kinga Máthé)

  3. Efficient Algorithms, chapter of a textbook on Formal Methods in Computer Science, editor A. Pataricza, to appear (with Lajos Rónyai)

  4. Scale-sensitive dimensions and skeleton estimates for classification, Discrete Applied Mathematics, 85, pp. 37-61, 1998. (with Gábor Lugosi)
    /earlier version: A data-dependent skeleton estimate and a scale-sensitive dimension for classification, Technical Report, Pompeu Fabra University, Dec. 1996./

  5. On the asymptotic normality of the resubstitution error estimate for partitioning classification rule, In Advances in Data Science and Classification, A. Rizza, M. Vichi, H. H. Bock (Eds.), Springer, pp. 197-204, 1998. (with László Györfi)