Showing 1–20 of 21 results
/ Date/ Name
Feb 1, 2023Local transfer learning from one data space to anotherJan 10, 2019A witness function based construction of discriminative models using Hermite polynomialsOct 8, 2020A low discrepancy sequence on graphsMay 12, 2021A function approximation approach to the prediction of blood glucose levelsFeb 20, 2024Learning on manifolds without manifold learningSep 28, 2009Eignets for function approximation on manifoldsNov 24, 2010A construction of linear bounded interpolatory operators on the torusFeb 3, 2023Numerical solutions to an inverse problem for a non-linear Helmholtz equationMay 30, 2019Function approximation by deep networksOct 28, 2008L^p Bernstein estimates and approximation by spherical basis functionsJul 15, 2016Representation of functions on big data associated with directed graphsNov 16, 2008Polynomial operators and local smoothness classes on the unit interval, IIJul 24, 2016Deep nets for local manifold learningApr 17, 2024Robust and tractable multidimensional exponential analysisJun 26, 2010Marcinkiewicz--Zygmund measures on manifoldsOct 3, 2017Minimum Sobolev norm interpolation of derivative dataSep 29, 2025A signal separation view of classificationJul 10, 2019Super-resolution meets machine learning: approximation of measuresNov 9, 2008Localized linear polynomial operators and quadrature formulas on the sphereAug 5, 2016Local approximation using Hermite functions