1. H. Paugam-Moisy, A. Elisseeff, Y. Guermeur, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000, 177  crossref
  2. M.C. Campi, M. Vidyasagar, 3, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2000, 255  crossref
  3. V.N. Vapnik, “An overview of statistical learning theory”, IEEE Trans. Neural Netw., 10:5 (1999), 988  crossref
  4. Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf, Lecture Notes in Computer Science, 1572, Computational Learning Theory, 1999, 285  crossref
  5. Miguel Arcones, “Weak Convergence for the Row Sums of a Triangular Array of Empirical Processes Indexed by a Manageable Triangular Array of Functions”, Electron. J. Probab., 4:none (1999)  crossref
  6. M. Vidyasagar, Lecture Notes in Control and Information Sciences, 241, Learning, control and hybrid systems, 1999, 3  crossref
  7. Nicolas Vayatis, Robert Azencott, Lecture Notes in Computer Science, 1572, Computational Learning Theory, 1999, 230  crossref
  8. Evarist Giné, Armelle Guillou, “Laws of the Iterated Logarithm for Censored Data”, Ann. Probab., 27:4 (1999)  crossref
  9. Robert C. Williamson, “Some Results in Statistical Learning Theory with Relevance to Nonlinear System Identification”, IFAC Proceedings Volumes, 31:17 (1998), 431  crossref
  10. Ramon Lopez de Mantaras, Eva Armengol, “Machine learning from examples: Inductive and Lazy methods”, Data & Knowledge Engineering, 25:1-2 (1998), 99  crossref
  11. Zhiqiang Chen, “A note on bias robustness of the median”, Statistics & Probability Letters, 38:4 (1998), 363  crossref
  12. M. Vidyasagar, Nonlinear Modeling, 1998, 177  crossref
  13. M.C. Campi, P.R. Kumar, “Learning dynamical systems in a stationary environment”, Systems & Control Letters, 34:3 (1998), 125  crossref
  14. Goran Peškir, “The the uniform mean-square ergodic theorem for wide sense stationary processes”, Stochastic Analysis and Applications, 16:4 (1998), 697  crossref
  15. Vitaly Maiorov, Joel Ratsaby, “The degree of approximation of sets in euclidean space using sets with bounded Vapnik-Chervonenkis dimension”, Discrete Applied Mathematics, 86:1 (1998), 81  crossref
  16. Richard M. Dudley, High Dimensional Probability, 1998, 33  crossref
  17. Georg Ch. Pflug, Andrzej Ruszczyński, Rüdiger Schultz, “On the Glivenko-Cantelli problem in stochastic programming: Mixed-integer linear recourse”, Mathematical Methods of Operations Research, 47:1 (1998), 39  crossref
  18. S.R. Kulkarni, G. Lugosi, S.S. Venkatesh, “Learning pattern classification-a survey”, IEEE Trans. Inform. Theory, 44:6 (1998), 2178  crossref
  19. “Statistical learning theory and randomized algorithms for control”, IEEE Control Syst., 18:6 (1998), 69  crossref
  20. Georg Ch. Pflug, Andrzej Ruszczyñski, Rüdiger Schultz, “On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse and Extensions”, Mathematics of OR, 23:1 (1998), 204  crossref
Предыдущая
1
2
3
4
5
6
7
Следующая