Authors: Cherkassky, V Kilts, S

Citation: V. Cherkassky et S. Kilts, Myopotential denoising of ECG signals using wavelet thresholding methods, NEURAL NETW, 14(8), 2001, pp. 1129-1137

Authors: Cherkassky, V Shao, X

Citation: V. Cherkassky et X. Shao, Signal estimation and denoising using VC-theory, NEURAL NETW, 14(1), 2001, pp. 37-52

Authors: Singh, R Cherkassky, V Papanikolopoulos, N

Citation: R. Singh et al., Self-organizing maps for the skeletonization of sparse shapes, IEEE NEURAL, 11(1), 2000, pp. 241-248

Authors: Shao, XH Cherkassky, V Li, W

Citation: Xh. Shao et al., Measuring the VC-dimension using optimized experimental design, NEURAL COMP, 12(8), 2000, pp. 1969-1986

Authors: Cherkassky, V Mulier, F

Citation: V. Cherkassky et F. Mulier, Vapnik-Chervonenkis (VC) learning theory and its applications, IEEE NEURAL, 10(5), 1999, pp. 985-987

Authors: Cherkassky, V Shao, XH Mulier, FM Vapnik, VN

Citation: V. Cherkassky et al., Model complexity control for regression using VC generalization bounds, IEEE NEURAL, 10(5), 1999, pp. 1075-1089