-
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
-
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
-
V.N. Vapnik, “An overview of statistical learning theory”, IEEE Trans. Neural Netw., 10:5 (1999), 988
-
Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf, Lecture Notes in Computer Science, 1572, Computational Learning Theory, 1999, 285
-
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)
-
M. Vidyasagar, Lecture Notes in Control and Information Sciences, 241, Learning, control and hybrid systems, 1999, 3
-
Nicolas Vayatis, Robert Azencott, Lecture Notes in Computer Science, 1572, Computational Learning Theory, 1999, 230
-
Evarist Giné, Armelle Guillou, “Laws of the Iterated Logarithm for Censored Data”, Ann. Probab., 27:4 (1999)
-
Robert C. Williamson, “Some Results in Statistical Learning Theory with Relevance to Nonlinear System Identification”, IFAC Proceedings Volumes, 31:17 (1998), 431
-
Ramon Lopez de Mantaras, Eva Armengol, “Machine learning from examples: Inductive and Lazy methods”, Data & Knowledge Engineering, 25:1-2 (1998), 99
-
Zhiqiang Chen, “A note on bias robustness of the median”, Statistics & Probability Letters, 38:4 (1998), 363
-
M. Vidyasagar, Nonlinear Modeling, 1998, 177
-
M.C. Campi, P.R. Kumar, “Learning dynamical systems in a stationary environment”, Systems & Control Letters, 34:3 (1998), 125
-
Goran Peškir, “The the uniform mean-square ergodic theorem for wide sense stationary processes”, Stochastic Analysis and Applications, 16:4 (1998), 697
-
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
-
Richard M. Dudley, High Dimensional Probability, 1998, 33
-
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
-
S.R. Kulkarni, G. Lugosi, S.S. Venkatesh, “Learning pattern classification-a survey”, IEEE Trans. Inform. Theory, 44:6 (1998), 2178
-
“Statistical learning theory and randomized algorithms for control”, IEEE Control Syst., 18:6 (1998), 69
-
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