"Approximating with Radial Basis Functions: an Evolutionary Approach"

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Book	Author(s)	Year	Publisher
Radial Basis Functions: Theory and Implementations	Martin D. Buhmann	2003-07	Cambridge University Press
Construction of Global Lyapunov Functions Using Radial Basis Functions	Peter Giesl	2007	Springer Berlin Heidelberg
Spherical Radial Basis Functions, Theory and Applications	Simon Hubbert; Quôc Thông Le Gia; Tanya M. Morton	2015	Springer International Publishing
Fast Radial Basis Functions for Engineering Applications	Marco Evangelos Biancolini	1st ed. 2017	Springer International Publishing
A primer on radial basis functions with applications to the geosciences /	Fornberg, Bengt,; Flyer, Natasha,
Spaces of Approximating Functions with Haar-like Conditions	Kazuaki Kitahara	1994	Springer Berlin Heidelberg
Tables of radial spheroidal functions	S. Hanish	1970	Naval Research Laboratory
Astrobiology: An Evolutionary Approach	Vera M. Kolb	2014	Routledge
Geoecology: An Evolutionary Approach	Richard Huggett	1995	Routledge
Environmentalism: An Evolutionary Approach	Douglas Spieles	2017	Routledge
Tables of radial spheroidal wave functions	S. Hanish, Roland V. Baier, A. L. Van Buren, Benson J. King, Benson J. King	1970	Naval Research Laboratory
Evolutionary biogeography: an integrative approach with case studies	Morrone, Juan J	2009	Columbia University Press
Some methods for approximating functions of several variables	Richard H. Franke	1974	Naval Postgraduate School
Animal Behavior: An Evolutionary Approach	Victor S. Lamoureux	2011	Routledge
Animal behavior: an evolutionary approach /	Alcock, John,	[1993], ©1993.	Sinauer Associates,
Animal Behavior: An Evolutionary Approach	Dustin R. Rubenstein and John Alcock	2018-06	Oxford University Press
Objective knowledge: an evolutionary approach	Karl R. Popper	1972	Clarendon Press
Color blindness; an evolutionary approach	Ricardo Cruz-Coke	1970	Thomas
Public policy: an evolutionary approach	James P. Lester; Jr., Joseph Stewart; David M. Hedge	2000	Wadsworth Thomson Learning
Animal behavior: an evolutionary approach /	Alcock, John,	c2005.	Sinauer Associates,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Approximating with Radial Basis Functions: an Evolutionary Approach	José S. Rodríguez; José A. Moreno	Approximation, Optimization and Mathematical Economics	Marc Lassonde	2001	Physica-Verlag HD
Cardinal Interpolation with Radial Basis Functions: An Integral Transform Approach	M. D. Buhmann	Multivariate Approximation Theory IV: Proceedings of the Conference at the Mathematical Research Institute at Oberwolfach, Black Forest, February 12–18, 1989	C. K. Chui; W. Schempp; K. Zeller	1989	Birkhäuser Basel
Radial Basis Functions	Wen Chen; Zhuo-Jia Fu; C. S. Chen	Recent Advances in Radial Basis Function Collocation Methods	Wen Chen; Zhuo-Jia Fu; C.S. Chen	2014	Springer Berlin Heidelberg
Radial Basis Functions	Hebert Montegranario; Jairo Espinosa	Variational Regularization of 3D Data: Experiments with MATLAB®	Hebert Montegranario; Jairo Espinosa	2014	Springer New York
Radial Basis Functions		Construction of Global Lyapunov Functions Using Radial Basis Functions	Peter Giesl	2007	Springer Berlin Heidelberg
Radial Basis Functions	Armin Iske	Multiresolution Methods in Scattered Data Modelling	Armin Iske	2004	Springer Berlin Heidelberg
Radial Basis Functions	Martin Buhmann	Encyclopedia of Applied and Computational Mathematics	Björn Engquist	1st ed. 2015	Springer Berlin Heidelberg
Radial Basis Functions	Andrew D. Back	Handbook of Neural Network Signal Processing	Jose C. Principe; Yu Hen Hu; Richard C. Dorf; Alexander D. Poularikas; Ling Guan; Jenq-Neng Hwang; Scott C. Douglas; Shigeru Katagiri; Tulay Adali; Michael T. Manry; Klaus-Robert - Muller; Volker Tresp; Konstantinos I. Diamantaras; Jinshiuh Taur; Lizhong Wu; Paisarn Muneesawang; S.Y. Kung; Hau San Wong; Jose A. Lay; Yue Wang; Andrew Back; Shang Hung Lin; Yuangsong Liao; Hema Chandrasekaran; Cheng-Hsiung Hsieh; John Moody; Sebastian Mika; Gunnar Ratsch; Koji Tsuda; Bernhard Scholkopf	2002	Routledge
Radial Basis Functions		Nonlinear and Distributed Circuits	Wai-Kai Chen	2005	CRC Press
Radial basis functions		Bayesian Reasoning and Machine Learning	David Barber	2011	Cambridge University Press
Radial Basis Functions	Michael Hillier	Encyclopedia of Mathematical Geosciences	B. S. Daya Sagar; Qiuming Cheng; Jennifer McKinley; Frits Agterberg	0th ed. 2020	Springer International Publishing
Radial Basis Functions	Marco Evangelos Biancolini	Fast Radial Basis Functions for Engineering Applications	Marco Evangelos Biancolini	1st ed. 2017	Springer International Publishing
Radial basis functions		Bayesian Reasoning and Machine Learning	David Barber
Radial Basis Functions		Reinforcement Learning	Sutton, Barto	2018
Radial Basis Functions		Reinforcement Learning. An Introduction [2nd ed. ]	Richard S. Sutton, Andrew G. Barto	2018	MIT
Radial Basis Functions		Reinforcement Learning: An Introduction	Richard S. Sutton; Andrew G Barto	2018	Bradford Book
Radial Basis Functions		A Brief Introduction to Neural Networks	David Kriesel	2007	http://www.dkriesel.com
Approximating Probability Measures on Manifolds via Radial Basis Functions	Jeremy Levesley; Xingping Sun	Approximation Algorithms for Complex Systems: Proceedings of the 6th International Conference on Algorithms for Approximation, Ambleside, UK, 31st August - 4th September 2009	Emmanuil H Georgoulis; Armin Iske; Jeremy Levesley	2011	Springer Berlin Heidelberg
Meshless Methods with Radial Basis Functions	Jichun Li; Yi-Tung Chen	Computational Partial Differential Equations Using MATLAB®	Jichun Li; Yi-Tung Chen	2019	Routledge
Implicit Approximation with Radial Basis Functions		Heterogenous spatial data. Fusion, modeling, and analysis for GIS	Patane G., Spagnuolo M	2016	Morgan
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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