E-LIB Suche - Ergebnisse für: Mhaskar, Hrushikesh

1

Encoding of data sets and algorithms:

Doctor, Katarina ; Mao, Tong ; Mhaskar, Hrushikesh
Applied Numerical Mathematics. 200 (2024) - p. 209-235 , 2024

2

Introduction to the Special Issue on Harmonic Analysis and ..:

Donoho, David ; Mhaskar, Hrushikesh ; Zhou, Ding-Xuan
Applied and Computational Harmonic Analysis. 59 (2022) - p. 1-2 , 2022

Link: https://doi.org/10.1016/..

3

Data Based Construction of Kernels for Semi-Supervised Lear..:

Mhaskar, Hrushikesh ; Pereverzyev, Sergei V. ; Semenov, Vasyl Yu..
Frontiers in Applied Mathematics and Statistics. 5 (2019) - p. , 2019

Link: https://doi.org/10.3389/..

4

Why and when can deep-but not shallow-networks avoid the cu..:

Poggio, Tomaso ; Mhaskar, Hrushikesh ; Rosasco, Lorenzo..
International Journal of Automation and Computing. 14 (2017) 5 - p. 503-519 , 2017

Link: https://doi.org/10.1007/..

5

Higher order numerical discretizations for exterior and bih..:

Jayaraman Raghuram, Karthik ; Chandrasekaran, Shivkumar ; Moffitt, Joseph..
Journal of Computational and Applied Mathematics. 236 (2012) 18 - p. 4762-4774 , 2012

Link: https://doi.org/10.1016/..

6

Kernel Distance Measures for Time Series, Random Fields and..:

Das, Srinjoy ; Mhaskar, Hrushikesh N. ; Cloninger, Alexander
Frontiers in Applied Mathematics and Statistics. 7 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

7

Data Based Construction of Kernels for Classification:

, In: 2018 MATRIX Annals; MATRIX Book Series,

Mhaskar, Hrushikesh N. ; Pereverzyev, Sergei V. ; Semenov, Vasyl Yu.. - p. 113-119 , 2020

Link: https://doi.org/10.1007/..

8

A Witness Function Based Construction of Discriminative Mod..:

Mhaskar, Hrushikesh N. ; Cheng, Xiuyuan ; Cloninger, Alexander
Frontiers in Applied Mathematics and Statistics. 6 (2020) - p. , 2020

Link: https://doi.org/10.3389/..

9

Kernel-Based Analysis of Massive Data:

Mhaskar, Hrushikesh N.
Frontiers in Applied Mathematics and Statistics. 6 (2020) - p. , 2020

Link: https://doi.org/10.3389/..

10

Deep Nets for Local Manifold Learning:

Chui, Charles K. ; Mhaskar, Hrushikesh N.
Frontiers in Applied Mathematics and Statistics. 4 (2018) - p. , 2018

Link: https://doi.org/10.3389/..

11

A Deep Learning Approach to Diabetic Blood Glucose Predicti..:

Mhaskar, Hrushikesh N. ; Pereverzyev, Sergei V. ; van der Walt, Maria D.
Frontiers in Applied Mathematics and Statistics. 3 (2017) - p. , 2017

Link: https://doi.org/10.3389/..

12

Applications of classical approximation theory to periodic ..:

Mhaskar, Hrushikesh N. ; Nevai, Paul ; Shvarts, Eugene
Bulletin of Mathematical Sciences. 3 (2013) 3 - p. 485-549 , 2013

Link: https://doi.org/10.1007/..

13

Filtered Legendre expansion method for numerical differenti..:

Mhaskar, Hrushikesh N. ; Naumova, V. ; Pereverzyev, S.V.
Applied Mathematics and Computation. 224 (2013) - p. 835-847 , 2013

Link: https://doi.org/10.1016/..

14

Encoding of data sets and algorithms:

Doctor, Katarina ; Mao, Tong ; Mhaskar, Hrushikesh
http://arxiv.org/abs/2303.00984. , 2023

Link: http://arxiv.org/abs/230..

15

Tractability of approximation by general shallow networks:

Mhaskar, Hrushikesh ; Mao, Tong
http://arxiv.org/abs/2308.03230. , 2023

Link: http://arxiv.org/abs/230..