Suchergebnisse

Zeitschriftenartikel (21)

  1. 1.
    Zeitschriftenartikel
    Graf, A.; Bousquet, O.; Rätsch, G.; Schölkopf, B.: Prototype Classification: Insights from Machine Learning. Neural computation 21 (1), S. 272 - 300 (2009)
  2. 2.
    Zeitschriftenartikel
    von Luxburg, U.; Belkin, M.; Bousquet, O.: Consistency of Spectral Clustering. The Annals of Statistics 36 (2), S. 555 - 586 (2008)
  3. 3.
    Zeitschriftenartikel
    Bousquet, O.; Schölkopf, B.: Comment. Statistical Science 21 (3), S. 337 - 340 (2006)
  4. 4.
    Zeitschriftenartikel
    Blanchard, G.; Bousquet, O.; Zwald, L.: Statistical Properties of Kernel Principal Component Analysis. Machine Learning 66 (2-3), S. 259 - 294 (2006)
  5. 5.
    Zeitschriftenartikel
    Gretton, A.; Herbrich, R.; Smola, A.; Bousquet, O.; Schölkopf, B.: Kernel Methods for Measuring Independence. The Journal of Machine Learning Research 6, S. 2075 - 2129 (2005)
  6. 6.
    Zeitschriftenartikel
    Hein, M.; Bousquet, O.; Schölkopf, B.: Maximal Margin Classification for Metric Spaces. Journal of Computer and System Sciences 71 (3), S. 333 - 359 (2005)
  7. 7.
    Zeitschriftenartikel
    Bartlett, P.; Bousquet, O.; Mendelson, S.: Local Rademacher Complexities. The Annals of Statistics 33 (4), S. 1497 - 1537 (2005)
  8. 8.
    Zeitschriftenartikel
    Boucheron, S.; Bousquet, O.; Lugosi, G.: Theory of Classification: A Survey of Some Recent Advances. ESAIM: Probability and Statistics 9, S. 323 - 375 (2005)
  9. 9.
    Zeitschriftenartikel
    Boucheron, S.; Bousquet, O.; Lugosi, G.; Massart, P.: Moment Inequalities for Functions of Independent Random Variables. Annals of Probability 33 (2), S. 514 - 560 (2005)
  10. 10.
    Zeitschriftenartikel
    von Luxburg, U.; Bousquet, O.: Distance-Based Classification with Lipschitz Functions. Journal of Machine Learning Research 5, S. 669 - 695 (2004)
  11. 11.
    Zeitschriftenartikel
    von Luxburg, U.; Bousquet, O.; Schölkopf, B.: A Compression Approach to Support Vector Model Selection. The Journal of Machine Learning Research 5, S. 293 - 323 (2004)
  12. 12.
    Zeitschriftenartikel
    Blanchard, G.; Bousquet, O.; Massart, P.: Statistical Performance of Support Vector Machines. (2004)
  13. 13.
    Zeitschriftenartikel
    Perez-Cruz, F.; Bousquet, O.: Kernel Methods and their Potential Use in Signal Processing. IEEE Signal Processing Magazine (Special issue on Signal Processing for Mining) (2004)
  14. 14.
    Zeitschriftenartikel
    Bousquet, O.: Concentration Inequalities for Sub-Additive Functions Using the Entropy Method. Stochastic Inequalities and Applications 56, S. 213 - 247 (2003)
  15. 15.
    Zeitschriftenartikel
    Weston, J.; Perez-Cruz F, Bousquet, O.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.: Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics 19 (6), S. 764 - 771 (2003)
  16. 16.
    Zeitschriftenartikel
    Bousquet, O.: New Approaches to Statistical Learning Theory. Annals of the Institute of Statistical Mathematics 55 (2), S. 371 - 389 (2003)
  17. 17.
    Zeitschriftenartikel
    Bousquet, O.: A Bennett Concentration Inequality and Its Application to Suprema of Empirical Processes. C. R. Acad. Sci. Paris, Ser. I 334, S. 495 - 500 (2002)
  18. 18.
    Zeitschriftenartikel
    Bousquet, O.: Stability and Generalization. Journal of Machine Learning Research 2, S. 499 - 526 (2002)
  19. 19.
    Zeitschriftenartikel
    Bousquet, O.: Tracking a Small Set of Experts by Mixing Past Posteriors. Journal of Machine Learning Research 3, S. 363 - 396 (2002)
  20. 20.
    Zeitschriftenartikel
    Chapelle, O.; Vapnik V, Bousquet, O.; Mukherjee, S.: Choosing Multiple Parameters for Support Vector Machines. Machine Learning 46 (1), S. 131 - 159 (2002)
Zur Redakteursansicht