Výsledky vyhledávání - "function approximation"

Quantum-Assisted Gaussian Process Regression Using Random Fourier Features

Autoři: Galvis-Florez, Cristian A. Farooq, Ahmad Särkkä, Simo

Zdroj: 2025 IEEE International Conference on Quantum Software (QSW). :22-27

Témata: quantum principal component analysis, Quantum-assisted algorithm, Machine Learning, FOS: Computer and information sciences, Quantum Physics, random Fourier features, kernel function approximation, Computation, FOS: Physical sciences, Machine Learning (stat.ML), Quantum Physics (quant-ph), Gaussian process regression, Computation (stat.CO)

Přístupová URL adresa: http://arxiv.org/abs/2507.22629
https://cris.vtt.fi/en/publications/9b2782a5-2ddc-451a-bb4d-760ba039b310
https://doi.org/10.1109/QSW67625.2025.00012

Convergence of SARSA with linear function approximation: the random horizon case

Autoři: Palmborg, Lina, 1984

Zdroj: Journal of experimental and theoretical artificial intelligence (Print).

Témata: Reinforcement learning, Markov decision process, function approximation, convergence, matematisk statistik, Mathematical Statistics

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-218314
https://doi.org/10.1080/0952813X.2025.2541954

Adaptive Basis Function Selection for Computationally Efficient Predictions

Autoři: Kullberg, Anton Viset, Frida Skog, Isaac a další

Zdroj: Wallenberg AI, Autonomous Systems and Software Program (WASP) IEEE Signal Processing Letters. 31:2130-2134

Témata: Computational modeling, Predictive models, Adaptation models, Data models, Accuracy, Training data, Probabilistic logic, Adaptive signal processing, computational complexity, function approximation, Gaussian processes, WASP_publications

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-206535
https://liu.diva-portal.org/smash/get/diva2:1890083/FULLTEXT01.pdf

Numerical Realization of the Mortensen Observer via a Hessian-Augmented Polynomial Approximation of the Value Function: Numerical realization of the Mortensen observer via a Hessian-augmented polynomial approximation of the value function

Autoři: Tobias Breiten Karl K. Kunisch Jesper Schröder

Zdroj: SIAM Journal on Scientific Computing. 47:A181-A206

Témata: Optimization and Control (math.OC), Hamilton-Jacobi equations in optimal control and differential games, nonlinear observer design, FOS: Mathematics, Dynamical Systems (math.DS), value function approximation, Mathematics - Dynamical Systems, 93B53 (Primary) 49M05, 49L12 (Secondary), Observers, Mathematics - Optimization and Control, minimum energy estimation, Hamilton-Jacobi-Bellman equation, Numerical methods based on necessary conditions

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2310.20321
https://zbmath.org/7967118
https://doi.org/10.1137/23m1613773

Nonlinear Value Function Approximation Method With Easy Hyperparameter Tuning and Convergence Guarantee

Autoři: Yuuya Watabe Takeshi Shibuya

Zdroj: IEEE Access, Vol 13, Pp 30117-30126 (2025)

Témata: reinforcement learning, Reinforcement learning, temporal difference learning, Electrical engineering. Electronics. Nuclear engineering, value function approximation, convergence analysis, TK1-9971

Přístupová URL adresa: https://doaj.org/article/31b61fd62ef24ba7a511524bb975087b

Coherency-Constrained Spectral Clustering for Power Network Reduction

Autoři: Mario D. Baquedano-Aguilar Sean Meyn Arturo Bretas

Zdroj: IEEE Open Access Journal of Power and Energy, Vol 12, Pp 88-99 (2025)

Témata: TK1001-1841, Production of electric energy or power. Powerplants. Central stations, Distribution or transmission of electric power, network reduction, function approximation, TK3001-3521, spectral graph theory, Aggregation of electrical components, UCED

Přístupová URL adresa: https://doaj.org/article/5b833c596f09424e91e70d4a11d4b53d

Learning PDEs from Data on Closed Surfaces with Sparse Optimization: Learning PDEs from data on closed surfaces with sparse optimization

Autoři: Sun, Zhengjie Ling, Leevan Zhang, Ran

Zdroj: Communications in Computational Physics. 37:289-314

Témata: meshless methods, data-driven modeling, Numerical radial basis function approximation, FOS: Mathematics, FOS: Physical sciences, surface PDE, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Mathematical Physics (math-ph), sparse optimization, Interpolation in approximation theory, Mathematical Physics

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2405.06199
https://zbmath.org/8033878
https://doi.org/10.4208/cicp.oa-2024-0112

Area-driven Boolean bi-decomposition by function approximation

Autoři: Anna Bernasconi Valentina Ciriani Jordi Cortadella a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Témata: Bi-Decomposition, Function Approximation, Logic Synthesis, Function approximation, Logic synthesis, Boolean decomposition, function approximation, 0202 electrical engineering, electronic engineering, information engineering, Combinational circuits, 02 engineering and technology, Bi-decomposition, Combinational synthesis, Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica, Logic synthesis, Circuit optimization

Popis souboru: application/pdf

The Galerkin method for the numerical solution of some class of differential equations by utilizing Gegenbauer wavelets

Autoři: Lingaraj Angadi

Zdroj: Journal of Innovative Applied Mathematics and Computational Sciences, Vol 5, Iss 1 (2025)

Témata: QA71-90, Gegenbauer wavelets, Function approximation, Galerkin method, Differential equations, Probabilities. Mathematical statistics, Instruments and machines, QA273-280

Přístupová URL adresa: https://doaj.org/article/a5f119b488ed4cc895efb2aeedf296af

On the accuracy of interpolation based on single-layer artificial neural networks with a focus on defeating the Runge phenomenon

Autoři: Auricchio, Ferdinando Belardo, Maria Roberta Calabrò, Francesco a další

Zdroj: Soft Computing. 28:11767-11785

Témata: Function approximation, FOS: Computer and information sciences, 65D05, Feedforward neural networks, Extreme learning machine, Runge's function, Computer Science - Artificial Intelligence, Feedforward neural networks, Function approximation, Runge's function, Extreme learning machine, 02 engineering and technology, Numerical Analysis (math.NA), 01 natural sciences, Artificial Intelligence (cs.AI), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Mathematics - Numerical Analysis, 0101 mathematics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2308.10720
https://hdl.handle.net/11588/971624

Robust Radial Basis Function Interpolation Based on Geodesic Distance for the Numerical Coupling of Multiphysics Problems: Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems

Autoři: Michele Bucelli Francesco Regazzoni Luca Dede’ a další

Zdroj: SIAM Journal on Scientific Computing. 46:B981-B1002

Témata: 65D05, 65D12, 65M60, Numerical interpolation, Numerical radial basis function approximation, intergrid interpolation, FOS: Mathematics, radial basis functions, Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), cardiac electromechanics, multiphysics modeling

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2403.03665

Adaptive residual subsampling algorithms for kernel interpolation based on cross validation techniques

Autoři: Roberto Cavoretto Adeeba Haider Sandro Lancellotti a další

Zdroj: Volume: 7, Issue: Special Issue: AT&A76-92
Constructive Mathematical Analysis

Témata: Adaptive interpolation, cross validation schemes, meshfree methods, radial basis function approximation, shape parameter optimization, Numerical Analysis, Sayısal Analiz, adaptive interpolation, RBF approximation, 0101 mathematics, 01 natural sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/cma/issue/84789/1518603

Fast Kernel Summation in High Dimensions via Slicing and Fourier Transforms: Fast kernel summation in high dimensions via slicing and Fourier transforms

Autoři: Johannes Hertrich

Zdroj: SIAM Journal on Mathematics of Data Science. 6:1109-1137

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Numerical radial basis function approximation, slicing, Numerical Analysis (math.NA), 01 natural sciences, Machine Learning (cs.LG), nonequispaced Fourier transforms, Algorithms for approximation of functions, fast kernel summation, FOS: Mathematics, Mathematics - Numerical Analysis, 0101 mathematics, Numerical methods for discrete and fast Fourier transforms

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2401.08260
https://zbmath.org/7960206
https://doi.org/10.1137/24m1632085

Fredholm Integral Equations for Function Approximation and the Training of Neural Networks: Fredholm integral equations for function approximation and the training of neural networks

Autoři: Patrick Gelß Aizhan Issagali Ralf Kornhuber

Zdroj: SIAM Journal on Mathematics of Data Science. 6:1078-1108

Témata: Fredholm integral equations of the first kind, Ritz-Galerkin methods, Tikhonov regularization, function approximation, Fredholm integral equations, 02 engineering and technology, Numerical Analysis (math.NA), Numerical methods for integral equations, 01 natural sciences, Multilinear algebra, tensor calculus, training of neural networks, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Mathematics - Numerical Analysis, 0101 mathematics, Artificial neural networks and deep learning, tensor trains

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2303.05262
https://zbmath.org/7960205
https://doi.org/10.1137/23m156642x

A modified lattice Boltzmann approach based on radial basis function approximation for the non‐uniform rectangular mesh: A modified lattice Boltzmann approach based on radial basis function approximation for the non-uniform rectangular mesh

Autoři: Hu, X Bergadà Granyó, Josep Maria Li, D a další

Přispěvatelé: Hu, X Bergadà Granyó, Josep Maria Li, D a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Témata: Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids, Non-uniform rectangular mesh, non-uniform rectangular mesh, Steady and unsteady solutions, radial basis function approximation, steady and unsteady solutions, LBM, Dinàmica de fluids computacional, Computational fluid dynamics, 01 natural sciences, Mecànica de fluids, 0103 physical sciences, Fluid mechanics, Radial basis function approximation, Numerical analysis

Popis souboru: application/pdf; application/xml

Přístupová URL adresa: https://zbmath.org/8034500
https://doi.org/10.1002/fld.5318

Zeroing Neural Networks for Unknown Functions

Autoři: Possieri, Corrado

Zdroj: 2024 32nd Mediterranean Conference on Control and Automation (MED). :941-946

Témata: Function approximation, Zeroing neural network, Continuous-time

Popis souboru: application/pdf

Randomized Least-Squares with Minimal Oversampling and Interpolation in General Spaces

Autoři: Matthieu Dolbeault Moulay Abdellah Chkifa

Zdroj: SIAM Journal on Numerical Analysis. 62:1515-1538

Témata: Convex Optimization, Computational Mechanics, Polynomial, Mathematical analysis, Estimator, Bandwidth (computing), Filter (signal processing), Sparse Approximation, Engineering, High-dimensional Integration and Quasi-Monte Carlo Methods, Machine learning, FOS: Mathematics, Mathematics - Numerical Analysis, Multivariate Approximation, Stability (learning theory), Numerical Analysis, Computer network, Randomized Methods, Computer graphics (images), Oversampling, Mathematical optimization, Statistics, Numerical Analysis (math.NA), Sampling (signal processing), Animation, 65D15, 41A65, 65D05, 41A81, 41A05, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Discrepancy Minimization, Dimension (graph theory), Combinatorics, Physical Sciences, Computer Science, Interpolation (computer graphics), Computer vision, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Mathematics, Least-squares function approximation

Přístupová URL adresa: http://arxiv.org/abs/2306.07435

Offline Learning of Maintenance Policies Using Reinforcement Learning and Historical Maintenance Data

Autoři: Tran, Quang Khai Huynh, Khac Tuan Grall, Antoine a další

Přispěvatelé: Tran, Quang Khai Huynh, Khac Tuan Grall, Antoine a další

Témata: continuous state space, reinforcement learning, average reward, maintenance data, function approximation, [INFO] Computer Science [cs], Markov decision process, condition-based maintenance, data augmentation, relative Q-learning

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05124636v1
https://hal.science/hal-05124636v1/document

A collocation method utilizing taylor wavelets for the numerical solution of fractional differential equations with constant proportional delay

Autoři: Ashish Rayal Khushi Kashyap Shakshi Dogra a další

Zdroj: Franklin Open, Vol 12, Iss , Pp 100382- (2025)

Témata: Taylor wavelets, Fractional delay differential equations, Function approximation, Collocation grids, Error analysis, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2773186325001707; https://doaj.org/toc/2773-1863

Přístupová URL adresa: https://doaj.org/article/511f077b52f94224b820b2cf2cde5610

Small dataset augmentation with radial basis function approximation for causal discovery using constraint-based method

Autoři: Chan Young Jung Yun Jang

Zdroj: ETRI Journal, Vol 47, Iss 1, Pp 90-101 (2025)

Témata: causal discovery, conditional independence, constraint-based method, data augmentation, radial basis function approximation, Telecommunication, TK5101-6720, Electronics, TK7800-8360

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1225-6463; https://doaj.org/toc/2233-7326

Přístupová URL adresa: https://doaj.org/article/e9fa08c67e8344468f29d24946f8549e