Applied Stochastic Models in Business and Industry

Cover image for Applied Stochastic Models in Business and Industry

Special Issue: Statistical Learning

March/April 2005

Volume 21, Issue 2

Pages 95–226

Issue edited by: Gilbert Saporta, Michel Bera

  1. Editorials

    1. Top of page
    2. Editorials
    3. Research Articles
    1. Editorial (pages 95–96)

      Gilbert Saporta and Michel Bera

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.543

  2. Research Articles

    1. Top of page
    2. Editorials
    3. Research Articles
    1. A tutorial on ν-support vector machines (pages 111–136)

      Pai-Hsuen Chen, Chih-Jen Lin and Bernhard Schölkopf

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.537

    2. On-line learning for very large data sets (pages 137–151)

      Léon Bottou and Yann Le Cun

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.538

    3. Non-parametric regression with wavelet kernels (pages 153–163)

      Alain Rakotomamonjy, Xavier Mary and Stéphane Canu

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.533

    4. Statistical modelling of functional data (pages 165–173)

      Philippe C. Besse, Hervé Cardot, Robert Faivre and Michel Goulard

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.539

    5. Some linear programming methods for frontier estimation (pages 175–185)

      G. Bouchard, S. Girard, A. Iouditski and A. Nazin

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.535

    6. A statistical approach to class separability (pages 187–197)

      Djamel A. Zighed, Stéphane Lallich and Fabrice Muhlenbach

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.532

    7. Intrinsic Kriging and prior information (pages 215–226)

      E. Vazquez, E. Walter and G. Fleury

      Article first published online: 23 MAR 2005 | DOI: 10.1002/asmb.536

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