Showing results (1-10 of 20) with videos related to
Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|May 22, 2022
A manifold learning approach for gesture recognition from micro-Doppler radar measurementsE S Mason, H N Mhaskar, Adam GuoNeural Networks : the Official Journal of the International Neural Network Society|August 18, 2004
When is approximation by Gaussian networks necessarily a linear process?H N MhaskarNeural Networks : the Official Journal of the International Neural Network Society|September 14, 2020
A direct approach for function approximation on data defined manifoldsH N MhaskarNeural Networks : the Official Journal of the International Neural Network Society|February 15, 2011
A generalized diffusion frame for parsimonious representation of functions on data defined manifoldsH N MhaskarNeural Networks : the Official Journal of the International Neural Network Society|December 24, 2019
Dimension independent bounds for general shallow networksH N MhaskarNeural Networks : the Official Journal of the International Neural Network Society|March 6, 2025
Approximation by non-symmetric networks for cross-domain learningH N MhaskarNeural Computation|January 1, 1997
Neural networks for functional approximation and system identificationH N Mhaskar, N HahmNeural Networks : the Official Journal of the International Neural Network Society|October 20, 2024
Learning on manifolds without manifold learningH N Mhaskar, Ryan O'DowdNeural Networks : the Official Journal of the International Neural Network Society|October 2, 2019
An analysis of training and generalization errors in shallow and deep networksH N Mhaskar, T PoggioJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 30, 2012
Locally learning biomedical data using diffusion framesM Ehler, F Filbir, H N MhaskarPageof 2