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H

H. N. Mhaskar

Claremont Graduate University

40H指数
217论文数
5.9K被引数
收录论文 18
发表时间
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Localized kernel method for separation of linear chirps线性调频信号分离的局部核方法
errSignal Processing
IF3.6
err2026-06-29
err0
PREAI
errS. Kitimoon; E. Mason; H.N. Mhaskar
err分享
err收藏
Robust and tractable multidimensional exponential analysis鲁棒且易于处理的多维指数分析
errNumerical Algorithms
IF2
err2025-12-01
err0
errOAAI
errMhaskar, H. N.; Kitimoon, S.; Raj, Raghu G.
err分享
err收藏
An eigenfunction approach to conversion of the Laplace transform of point masses on the real line to the Fourier domain一种利用特征函数方法将实线上点质量的拉普拉斯变换转换到傅里叶域的方法
errApplied and Computational Harmonic Analysis
IF3.2
err2025-05-21
err0
PREAI
errMichael E. Mckenna; Hrushikesh N. Mhaskar; Richard G. Spencer
err分享
err收藏
Approximation by non-symmetric networks for cross-domain learning基于非对称网络的跨域学习近似
errNEURAL NETWORKS
IF6.3
err2025-02-01
err0
errOAAI
errMhaskar, H. N.
err分享
err收藏
Learning on manifolds without manifold learning
errNEURAL NETWORKS
IF6.3
err2025-01-01
err0
PREAI
errMhaskar, H. N.; O'Dowd, Ryan
err分享
err收藏
Theory-Inspired Deep Network for Instantaneous-Frequency Extraction and Subsignals Recovery From Discrete Blind-Source Data
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2022-08-01
err2
errOAAI
errHan, Ningning; Mhaskar, H. N.; Chui, Charles K.
err分享
err收藏
A manifold learning approach for gesture recognition from micro-Doppler radar measurements
errNEURAL NETWORKS
IF6.3
err2022-08-01
err0
errOAAI
errMason, E. S.; Mhaskar, H. N.; Guo, Adam
err分享
err收藏
A direct approach for function approximation on data defined manifolds
errNEURAL NETWORKS
IF6.3
err2020-12-01
err7
errOAAI
errMhaskar, H. N.
err分享
err收藏
Dimension independent bounds for general shallow networks一般浅层网络的维数无关界限
errNEURAL NETWORKS
IF6.3
err2020-03-01
err15
errOAAI
errMhaskar, H. N.
err分享
err收藏
An analysis of training and generalization errors in shallow and deep networks
errNEURAL NETWORKS
IF6.3
err2020-01-01
err10
errOAAI
errMhaskar, H. N.; Poggio, T.
err分享
err收藏
Minimum Sobolev norm interpolation of scattered derivative data散乱导数数据的最小Sobolev范数插值
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2018-07-01
err2
errOAAI
errChandrasekaran, S.; Gorman, C. H.; Mhaskar, H. N.
err分享
err收藏
A minimum Sobolev norm technique for the numerical discretization of PDEs用于pde数值离散化的最小Sobolev范数技术
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2015-10-01
err7
errOAAI
errChandrasekaran, S.; Mhaskar, H. N.
err分享
err收藏
Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions
errAPPLIED MATHEMATICS AND COMPUTATION
IF3.4
err2013-11-01
err9
errOAAI
errMhaskar, Hrushikesh N.; Naumova, V.; Pereverzyev, S. V.
err分享
err收藏
Minimum Sobolev norm interpolation with trigonometric polynomials on the torus在圆环上使用三角多项式进行最小Sobolev范数插值
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2013-09-01
err15
PREAI
errChandrasekaran, S.; Jayaraman, K. R.; Mhaskar, H. N.
err分享
err收藏
A generalized diffusion frame for parsimonious representation of functions on data defined manifolds
errNEURAL NETWORKS
IF6.3
err2011-05-01
err15
PREAI
errMhaskar, H. N.
err分享
err收藏
When is approximation by Gaussian networks necessarily a linear process?
errNEURAL NETWORKS
IF6.3
err2004-09-01
err21
PREAI
errMhaskar, HN
err分享
err收藏
Zonal function network frames on the sphere
errNEURAL NETWORKS
IF6.3
err2003-03-01
err14
PREAI
errMhaskar, HN; Narcowich, FJ; Ward, JD
err分享
err收藏
Neural networks and approximation theory
errNEURAL NETWORKS
IF6.3
err1996-06-01
err9
PREAI
errMhaskar, HN
err分享
err收藏

研究方向

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合作学者
合作期刊
T
Tomaso Poggio
H 指数: 130 · 论文数: 742
M
Michael J. McKenna
H 指数: 61 · 论文数: 281
R
Richard G. Spencer
H 指数: 51 · 论文数: 327
J
J. D. Ward
H 指数: 37 · 论文数: 152
C
Charles K. Chui
H 指数: 36 · 论文数: 202
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