Výsledky vyhledávání - polynomial kernel method

Comparison between the Local Polynomial Kernel Method and cubic spline to Estimating Time-Varying Coefficients Model

Autoři: Noor Abdul-Kareem Fayadh Wafaa Jaafar Hussain

Zdroj: Wasit Journal for Pure Sciences, Vol 1, Iss 3 (2022)

Témata: Science, 0502 economics and business, 05 social sciences, 0101 mathematics, 01 natural sciences

Přístupová URL adresa: https://doaj.org/article/87022f6862ae43c981f7c5af23f0a0a5

Construction of Multivariate Polynomial Approximation Kernels via Semidefinite Programming

Autoři: Felix Kirschner Etienne de Klerk

Zdroj: SIAM Journal on Optimization. 33:513-537

Témata: Optimization and Control (math.OC), FOS: Mathematics, 0211 other engineering and technologies, polynomial kernel method, 02 engineering and technology, semidefinite programming, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences, symmetry reduction

Přístupová URL adresa: http://arxiv.org/abs/2203.05892

Sum-of-Squares Hierarchies for Polynomial Optimization and the Christoffel--Darboux Kernel

Autoři: Lucas Slot Laurent, Monique

Přispěvatelé: Lucas Slot Laurent, Monique

Zdroj: SIAM Journal on Optimization. 32:2612-2635

Témata: Positivstellensatz, 0211 other engineering and technologies, [MATH] Mathematics [math], 02 engineering and technology, 01 natural sciences, polynomial optimization Positivstellensatz sum-of-squares hierarchy Christoffel-Darboux kernel polynomial kernel method, Optimization and Control (math.OC), polynomial optimization, Christoffel-Darboux kernel, FOS: Mathematics, sum-of-squares hierarchy, polynomial kernel method, 90C22, 90C23, 90C26, 0101 mathematics, Mathematics - Optimization and Control

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2111.04610
https://hal.science/hal-04089815v1/document
https://hal.science/hal-04089815v1
https://doi.org/10.1137/21m1458338

Asymptotic Properties of Kernel K-means and Its Comparison with Conventional K-means in High-Dimensional Settings.

Autoři: Egashira, Kento Yata, Kazuyoshi Aoshima, Makoto

Zdroj: Procedia Computer Science. 2025, Vol. 270, p495-504. 10p.

Témata: K-means clustering, Kernel functions, Kernel (Mathematics), Cluster analysis (Statistics), Asymptotic analysis

Recognizing sentence emotions based on polynomial kernel method using Ren-CECps

Autoři: Changqin Quan Fuji Ren

Zdroj: 2009 International Conference on Natural Language Processing and Knowledge Engineering. :1-7

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/5313834/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005313834
https://dblp.uni-trier.de/db/conf/nlpke/nlpke2009.html#QuanR09
https://ieeexplore.ieee.org/document/5313834/

On the Boundary Kernel Method for Non-Parametric Curve Estimation near Endpoints

Autoři: Müller, Hans-Georg

Zdroj: Scandinavian Journal of Statistics, 1993 Jan 01. 20(4), 313-328.

Přístupová URL adresa: https://www.jstor.org/stable/4616287

Applicability of the kernel method for macroscopic cross section tabulation to planar MOC-based core transient analysis code.

Autoři: Fujita, Tatsuya¹ fujita_tatsuya_o5v@nra.go.jp

Zdroj: Journal of Nuclear Science & Technology. May2024, Vol. 61 Issue 5, p679-692. 14p.

FAULT TRANSFER DIAGNOSIS METHOD FOR ROLLING ELEMENT BEARINGS BASED ON POLYNOMIAL KERNEL INDUCED FEATURE DISTRIBUTION ADAPTATION

Weighted Local Regression and Kernel Methods for Nonparametric Curve Fitting

Autoři: Muller, Hans-Georg

Zdroj: Journal of the American Statistical Association, 1987 Mar 01. 82(397), 231-238.

Přístupová URL adresa: https://www.jstor.org/stable/2289159

Ultraspherical Polynomial, Kernel and Hybrid Estimators for Nonparametric Regression

Autoři: Azari, A. S. Mack, Y. P. Müller, Hans-Georg

Zdroj: Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), 1992 Feb 01. 54(1), 80-96.

Přístupová URL adresa: https://www.jstor.org/stable/25050860

Efficient polynomial kernel-based method for multi-term time-fractional diffusion systems in regular and irregular domains.

Autoři: Azarnavid, Babak Fardi, Mojtaba Emami, Hojjat

Zdroj: Chaos, Solitons & Fractals. Oct2025:Part 1, Vol. 199, pN.PAG-N.PAG. 1p.

Témata: *BERNOULLI polynomials, *POLYNOMIAL approximation, *HEAT equation, *POLYNOMIALS, *COMPUTER simulation

Kernel Spline Regression

Autoři: Braun, W. John Huang, Li-Shan

Zdroj: The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2005 Jun 01. 33(2), 259-278.

Přístupová URL adresa: https://www.jstor.org/stable/25046176

Performance Acceleration of Lattice Model Simulations for Interacting Electrons Applying Kernel Polynomial Method on GPUs

Autoři: 張, 士勛

Popis souboru: application/pdf

Přístupová URL adresa: https://ndlsearch.ndl.go.jp/books/R100000039-I8951317

Degree: 博士（工学） -- 筑波大学, University of Tsukuba

Relative Efficiencies of Kernel and Local Likelihood Density Estimators

Autoři: Hall, Peter Tao, Terence

Zdroj: Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2002 Jan 01. 64(3), 537-547.

Přístupová URL adresa: https://www.jstor.org/stable/3088787

Multiple Kernel Procedure: An Asymptotic Support

Autoři: Vieu, Philippe

Zdroj: Scandinavian Journal of Statistics, 1999 Mar 01. 26(1), 61-72.

Přístupová URL adresa: https://www.jstor.org/stable/4616541

An effective version of Schmüdgen’s Positivstellensatz for the hypercube

Autoři: Laurent, Monique Slot, Lucas

Přispěvatelé: Laurent, Monique Slot, Lucas

Zdroj: Optimization Letters. 17:515-530

Témata: 0211 other engineering and technologies, Schmüdgen's Positivstellensatz, Polynomial kernel method, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], 02 engineering and technology, Sum-of-squares polynomials, Optimization and Control (math.OC), FOS: Mathematics, Jackson kernel, Semidefinite programming, 90C22, 90C23, 90C26, Schmudgen's Positivstellensatz, Lasserre hierarchy, Mathematics - Optimization and Control

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2109.09528

Geometry and learning curves of kernel methods with polynomial kernels.

Autoři: Ikeda, Kazushi¹

Zdroj: Systems & Computers in Japan. 6/30/2004, Vol. 35 Issue 7, p41-48. 8p.

Témata: Machine learning, Polynomials, Algorithms, Error analysis in mathematics, Mathematical statistics, Statistical mechanics

Wind power prediction method based on hybrid kernel function support vector machine

Autoři: Tian, Zhongda Li, Shujiang Wang, Yanhong a další

Zdroj: Wind Engineering, 2018 Jun 01. 42(3), 252-264.

Přístupová URL adresa: https://www.jstor.org/stable/90021358

MODEL INFERENCE FOR ORDINARY DIFFERENTIAL EQUATIONS BY PARAMETRIC POLYNOMIAL KERNEL REGRESSION

Autoři: Green, David Rindler, Filip

Zdroj: UNCECOMP 2019 3rd ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 0101 mathematics, QA, 16. Peace & justice, 01 natural sciences, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://wrap.warwick.ac.uk/116511/7/WRAP-model-inference-ordinary-differential-equations-parametric-polynomial-kernel-regression-Rindler-2019.pdf
http://arxiv.org/abs/1908.02105
https://arxiv.org/abs/1908.02105
https://dblp.uni-trier.de/db/journals/corr/corr1908.html#abs-1908-02105

Transformations to Reduce Boundary Bias in Kernel Density Estimation

Autoři: Marron, J. S. Ruppert, D.

Zdroj: Journal of the Royal Statistical Society. Series B (Methodological), 1994 Jan 01. 56(4), 653-671.

Přístupová URL adresa: https://www.jstor.org/stable/2346189