المؤلفون: Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)

مصطلحات موضوعية: Kernels, time series, statistical distances, random fields, Motif detection, Applied mathematics. Quantitative methods, T57-57.97, Probabilities. Mathematical statistics, QA273-280

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fams.2021.787455/full; https://doaj.org/toc/2297-4687

URL الوصول: https://doaj.org/article/842ae1ee6c5e42a4beb862891574102e

المؤلفون: Hrushikesh N. Mhaskar

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)

مصطلحات موضوعية: Kernel based approximation, distributed learning, machine learning, inverse problems, probability estimation, Applied mathematics. Quantitative methods, T57-57.97, Probabilities. Mathematical statistics, QA273-280

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fams.2020.00030/full; https://doaj.org/toc/2297-4687

URL الوصول: https://doaj.org/article/70255a94cb284fdd8dae1061bd1c7986

المؤلفون: Hrushikesh N. Mhaskar, Xiuyuan Cheng, Alexander Cloninger

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)

مصطلحات موضوعية: generative model, discriminative model, probability estimation, Hermite functions, witness function, 68Q32, Applied mathematics. Quantitative methods, T57-57.97, Probabilities. Mathematical statistics, QA273-280

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fams.2020.00031/full; https://doaj.org/toc/2297-4687

URL الوصول: https://doaj.org/article/38727609aee54a91b59be8b7ac3eaa94

المؤلفون: Charles K. Chui, Hrushikesh N. Mhaskar

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 4 (2018)

مصطلحات موضوعية: deep learning, function approximation, manifold learning, neural networks, local approximation, Applied mathematics. Quantitative methods, T57-57.97, Probabilities. Mathematical statistics, QA273-280

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fams.2018.00012/full; https://doaj.org/toc/2297-4687

URL الوصول: https://doaj.org/article/2bbe6b52eabd490b985e5f022bc5e4a7

المؤلفون: Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 3 (2017)

مصطلحات موضوعية: deep learning, deep neural network, diffusion geometry, continuous glucose monitoring, blood glucose prediction, Applied mathematics. Quantitative methods, T57-57.97, Probabilities. Mathematical statistics, QA273-280

وصف الملف: electronic resource

Relation: http://journal.frontiersin.org/article/10.3389/fams.2017.00014/full; https://doaj.org/toc/2297-4687

URL الوصول: https://doaj.org/article/45882753c0c34fd5aad60ee7a3a0bc5a

المؤلفون: Hrushikesh N. Mhaskar

المصدر: Neural Networks. 132:253-268

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Computer science, Cognitive Neuroscience, Gaussian, Normal Distribution, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG), symbols.namesake, Deep Learning, 020901 industrial engineering & automation, Operator (computer programming), Statistics - Machine Learning, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Humans, Applied mathematics, Propagation of uncertainty, Approximation theory, Models, Statistical, Atlas (topology), Nonlinear dimensionality reduction, Manifold, Functional Analysis (math.FA), Mathematics - Functional Analysis, Function approximation, symbols, 020201 artificial intelligence & image processing, Neural Networks, Computer, Laplacian matrix

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d21dfeba009ac9c9057a049714cd8d44
https://doi.org/10.1016/j.neunet.2020.08.018

المؤلفون: Hrushikesh N. Mhaskar

المصدر: Neural Networks. 123:142-152

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Computer science, Cognitive Neuroscience, Activation function, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG), Machine Learning, Kernel (linear algebra), 020901 industrial engineering & automation, Cardinality, Dimension (vector space), Statistics - Machine Learning, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Humans, Radial basis function, Discrete mathematics, Artificial neural network, Nonlinear dimensionality reduction, Function (mathematics), Directed acyclic graph, Manifold, Ambient space, Function approximation, Metric (mathematics), 020201 artificial intelligence & image processing, Neural Networks, Computer, Curse of dimensionality

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e1925ab8cd3d10184bd70a47026a15a
https://doi.org/10.1016/j.neunet.2019.11.006

المؤلفون: Tomaso Poggio, Hrushikesh N. Mhaskar

المصدر: Neural Networks. 121:229-241

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Generalization, Cognitive Neuroscience, Open problem, 02 engineering and technology, Expected value, Measure (mathematics), Regularization (mathematics), Square (algebra), Machine Learning (cs.LG), Machine Learning, 020901 industrial engineering & automation, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Humans, Applied mathematics, Mathematics - Numerical Analysis, Mathematics, Pointwise, Numerical Analysis (math.NA), 020201 artificial intelligence & image processing, Neural Networks, Computer, Test data

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2c6f750fc858462482228458a2bc842
https://doi.org/10.1016/j.neunet.2019.08.028

المؤلفون: Hrushikesh N. Mhaskar, Tomaso Poggio

المصدر: Communications on Pure & Applied Analysis. 19:4085-4095

مصطلحات موضوعية: Propagation of uncertainty, Exploit, Computer science, Principle of compositionality, Lift (data mining), Applied Mathematics, 010102 general mathematics, General Medicine, Topology, Directed acyclic graph, 01 natural sciences, 010101 applied mathematics, Function approximation, 0101 mathematics, Analysis, Curse of dimensionality

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b24a1e781d06230605d5307799dd337b
https://doi.org/10.3934/cpaa.2020181

المؤلفون: Hrushikesh N. Mhaskar

المصدر: Journal of Fourier Analysis and Applications. 25:3104-3122

مصطلحات موضوعية: Partial differential equation, business.industry, Applied Mathematics, General Mathematics, 010102 general mathematics, 020206 networking & telecommunications, 02 engineering and technology, Inverse problem, Machine learning, computer.software_genre, 01 natural sciences, Measure (mathematics), Operator (computer programming), Bounded function, 0202 electrical engineering, electronic engineering, information engineering, Orthonormal basis, Artificial intelligence, Continuum (set theory), 0101 mathematics, business, computer, Analysis, Reciprocal, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::78e5fd4e41faf7073e9f1f4c8de5e3b4
https://doi.org/10.1007/s00041-019-09693-x

المؤلفون: Hrushikesh N. Mhaskar

المصدر: Journal of Complexity. 51:1-19

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Computer Science - Machine Learning, Pure mathematics, Control and Optimization, General Mathematics, Activation function, Context (language use), 010103 numerical & computational mathematics, Positive-definite matrix, 01 natural sciences, Machine Learning (cs.LG), FOS: Mathematics, Mathematics - Numerical Analysis, 0101 mathematics, Linear combination, Mathematics, Numerical Analysis, Algebra and Number Theory, Smoothness (probability theory), Applied Mathematics, 010102 general mathematics, Numerical Analysis (math.NA), Function (mathematics), Function approximation, Homogeneous space

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080ae330cd001b7d8d50d475dfe4543a
https://doi.org/10.1016/j.jco.2018.09.002

المؤلفون: Alexander Cloninger, Hrushikesh N. Mhaskar

المصدر: Journal of Fourier Analysis and Applications. 27

مصطلحات موضوعية: Structure (mathematical logic), Discrete mathematics, Partial differential equation, Distribution (number theory), Applied Mathematics, General Mathematics, 010102 general mathematics, 02 engineering and technology, Expected value, 01 natural sciences, Potential theory, 020204 information systems, Kernel (statistics), 0202 electrical engineering, electronic engineering, information engineering, Probability distribution, Low-discrepancy sequence, 0101 mathematics, Analysis, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5b098f65c4c15b92bcb52587ccb1f63b
https://doi.org/10.1007/s00041-021-09865-8

المؤلفون: Hrushikesh N. Mhaskar, Charles K. Chui, Ningning Han

المصدر: IEEE transactions on neural networks and learning systems.

مصطلحات موضوعية: Signal processing, Computer Networks and Communications, Computer science, Linear system, Wavelet transform, 02 engineering and technology, Inverse problem, Functional decomposition, Instantaneous phase, Computer Science Applications, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Source separation, 020201 artificial intelligence & image processing, Algorithm, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a33db920f80d83cfc243a11957dbe75
https://pubmed.ncbi.nlm.nih.gov/33566766

المؤلفون: Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, M. D. van der Walt

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)

مصطلحات موضوعية: Statistics and Probability, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Machine learning, computer.software_genre, supervised learning, QA273-280, Machine Learning (cs.LG), hermite polynomial, blood glucose prediction, FOS: Mathematics, Mathematics - Numerical Analysis, T57-57.97, Applied mathematics. Quantitative methods, Hermite polynomials, Euclidean space, business.industry, Applied Mathematics, Supervised learning, Nonlinear dimensionality reduction, Function (mathematics), Numerical Analysis (math.NA), prediction error-grid analysis, Grid, Function approximation, continuous glucose monitoring, Artificial intelligence, business, Probabilities. Mathematical statistics, computer, Test data

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5134f00b3c483c309f8fcdb8ac060223

المؤلفون: Shivkumar Chandrasekaran, C. H. Gorman, Hrushikesh N. Mhaskar

المصدر: Journal of Computational Physics. 365:149-172

مصطلحات موضوعية: Numerical Analysis, Polynomial, Physics and Astronomy (miscellaneous), Applied Mathematics, Mathematical analysis, Double-precision floating-point format, 010103 numerical & computational mathematics, Birkhoff interpolation, 01 natural sciences, Computer Science Applications, Sobolev inequality, 010101 applied mathematics, Sobolev space, Computational Mathematics, Derivative (finance), Modeling and Simulation, Norm (mathematics), Applied mathematics, 0101 mathematics, Mathematics, PSPACE

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::dff4dfe4228a71962ba8d7301d70b5e8
https://doi.org/10.1016/j.jcp.2018.03.014

المؤلفون: Hrushikesh N. Mhaskar

المصدر: Applied and Computational Harmonic Analysis. 44:611-644

مصطلحات موضوعية: Smoothness, Kernel (set theory), Applied Mathematics, 010102 general mathematics, Structure (category theory), 010103 numerical & computational mathematics, Function (mathematics), Directed graph, Space (mathematics), 01 natural sciences, Algebra, Mathematics - Classical Analysis and ODEs, Singular value decomposition, Classical Analysis and ODEs (math.CA), FOS: Mathematics, Point (geometry), 0101 mathematics, Mathematics

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba853f58baa0c205974212c085f80ee8
https://doi.org/10.1016/j.acha.2016.06.007

المؤلفون: Hrushikesh N. Mhaskar, Alexander Cloninger

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Theoretical computer science, Euclidean space, Applied Mathematics, 010102 general mathematics, Conditional probability, Mathematics - Statistics Theory, Machine Learning (stat.ML), 010103 numerical & computational mathematics, Statistics Theory (math.ST), 01 natural sciences, Class (biology), Machine Learning (cs.LG), Statistics - Machine Learning, Kernel (statistics), FOS: Mathematics, Convex combination, 0101 mathematics, Cluster analysis, MNIST database, Mathematics, Probability measure

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed7de049ef6d18b402e652a0a136296

المؤلفون: Vasyl Yu. Semenov, Hrushikesh N. Mhaskar, Evgeniya V. Semenova, Sergei V. Pereverzyev

المصدر: 2018 MATRIX Annals ISBN: 9783030382292

مصطلحات موضوعية: Computer science, Diffusion geometry, Kernel (statistics), Zero (complex analysis), Contrast (statistics), Construct (python library), Algorithm, Regularization (mathematics)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b3571d4e9022057537acda1cec786d2b
https://doi.org/10.1007/978-3-030-38230-8_8

المؤلفون: Hrushikesh N. Mhaskar, Vasyl Yu. Semenov, Sergei V. Pereverzyev, Evgeniya V. Semenova

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 5 (2019)
Frontiers in Applied Mathematics and Statistics

مصطلحات موضوعية: Statistics and Probability, semi-supervised learning, Computer science, 010103 numerical & computational mathematics, Semi-supervised learning, 01 natural sciences, Regularization (mathematics), reproducing kernel hilbert spaces, Tikhonov regularization, 010104 statistics & probability, 0101 mathematics, business.industry, gender identification, Applied Mathematics, Small number, lcsh:T57-57.97, Pattern recognition, laplace-beltrami operator, Data set, machine learning, tikhonov regularization, Laplace–Beltrami operator, Diffusion geometry, lcsh:Applied mathematics. Quantitative methods, Artificial intelligence, lcsh:Probabilities. Mathematical statistics, business, lcsh:QA273-280

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e812692bc68c9d27c1dc2fc7b380aca
https://www.frontiersin.org/article/10.3389/fams.2019.00021/full

المؤلفون: Hrushikesh N. Mhaskar, Xiuyuan Cheng, Alexander Cloninger

المصدر: Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Computer Science - Machine Learning, discriminative model, 68Q32, Machine Learning (stat.ML), 01 natural sciences, Machine Learning (cs.LG), 010305 fluids & plasmas, Combinatorics, Uniform norm, Discriminative model, Statistics - Machine Learning, 0103 physical sciences, generative model, 010306 general physics, Mathematics, Hermite polynomials, lcsh:T57-57.97, Applied Mathematics, Estimator, Function (mathematics), 16. Peace & justice, probability estimation, witness function, Kernel (statistics), lcsh:Applied mathematics. Quantitative methods, Probability distribution, lcsh:Probabilities. Mathematical statistics, Marginal distribution, lcsh:QA273-280, Hermite functions

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27886d30a936efaaf6f455e70bf267d3
http://arxiv.org/abs/1901.02975