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V Cherkassky

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Neural Networks|January 1, 1997
The nature of statistical learning theory~V Cherkassky
Neural Networks : the Official Journal of the International Neural Network Society|October 30, 2001
Myopotential denoising of ECG signals using wavelet thresholding methodsV Cherkassky, S Kilts
Neural Networks : the Official Journal of the International Neural Network Society|February 24, 2001
Signal estimation and denoising using VC-theoryV Cherkassky, X Shao
Neural Computation|November 1, 1995
Self-organization as an iterative kernel smoothing processF Mulier, V Cherkassky
International Journal of Neural Systems|September 1, 1994
Neural network for control of rearrangeable Clos networksY K Park, V Cherkassky
IEEE Transactions on Neural Networks|January 1, 1996
Comparison of adaptive methods for function estimation from samplesV Cherkassky, D Gehring, F Mulier
Neural Computation|August 23, 2000
Measuring the VC-dimension using optimized experimental designX Shao, V Cherkassky, W Li
IEEE Transactions on Neural Networks|February 6, 2008
Self-organizing maps for the skeletonization of sparse shapesR Singh, V Cherkassky, N Papanikolopoulos
Neural Networks : the Official Journal of the International Neural Network Society|March 11, 2006
Computational intelligence in earth sciences and environmental applications: issues and challengesV Cherkassky, V Krasnopolsky, D P Solomatine, et al.
IEEE Transactions on Neural Networks|February 7, 2008
Model complexity control for regression using VC generalization boundsV Cherkassky, X Shao, F M Mulier, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks|January 1, 1997
The nature of statistical learning theory~V Cherkassky
Neural Networks : the Official Journal of the International Neural Network Society|October 30, 2001
Myopotential denoising of ECG signals using wavelet thresholding methodsV Cherkassky, S Kilts
Neural Networks : the Official Journal of the International Neural Network Society|February 24, 2001
Signal estimation and denoising using VC-theoryV Cherkassky, X Shao
Neural Computation|November 1, 1995
Self-organization as an iterative kernel smoothing processF Mulier, V Cherkassky
International Journal of Neural Systems|September 1, 1994
Neural network for control of rearrangeable Clos networksY K Park, V Cherkassky
IEEE Transactions on Neural Networks|January 1, 1996
Comparison of adaptive methods for function estimation from samplesV Cherkassky, D Gehring, F Mulier
Neural Computation|August 23, 2000
Measuring the VC-dimension using optimized experimental designX Shao, V Cherkassky, W Li
IEEE Transactions on Neural Networks|February 6, 2008
Self-organizing maps for the skeletonization of sparse shapesR Singh, V Cherkassky, N Papanikolopoulos
Neural Networks : the Official Journal of the International Neural Network Society|March 11, 2006
Computational intelligence in earth sciences and environmental applications: issues and challengesV Cherkassky, V Krasnopolsky, D P Solomatine, et al.
IEEE Transactions on Neural Networks|February 7, 2008
Model complexity control for regression using VC generalization boundsV Cherkassky, X Shao, F M Mulier, et al.
Pageof 2