Introduction to Radial Basis Function Networks

Introduction to Radial Basis Function Networks (1996)

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by Mark J. L. Orr

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@MISC{Orr96introductionto,
    author = {Mark J. L. Orr},
    title = {Introduction to Radial Basis Function Networks},
    year = {1996}
}

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3202	Matrix Analysis - Horn, Johnson - 1985
1783	An Introduction to the Bootstrap - Tibshirani, R - 1993
1581	Estimating the dimension of a model - SCHWARZ - 1978
1530	Introduction to the Theory of Neural Computation - Hertz, Krogh, et al. - 1991
593	Solution of IllPosed problems - Tikhonov, Arsenin - 1977
537	Neural networks and the bias/variance dilemma - Geman, Bienenstock, et al. - 1992
417	Bayesian interpolation - MacKay - 1992
357	Multivariable functional interpolation and adaptive networks,Complex - Lowe
327	Ridge regression: Biased estimation for nonorthogonal problems - Hoerl, Kennard - 2000
228	Growing Cell Structures - A SelfOrganizing Network for Unsupervised and - Fritzke - 1994
201	Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter - Golub, Heath, et al. - 1979
159	The effective number of parameters: an analysis of generalization and regularization in nonlinear learning systems”, in eds - Moody - 1992
142	A resource-allocating network for function interpolation - Platt - 1991
130	Some comments on Cp - Mallows - 1973
84	The relationship between variable selection and data augmentation and a method of prediction - Allen - 1974
82	Neural Networks and Statistical Models - Sarle - 1994
74	Nonlinear gated experts for time-series - discovering regimes and avoiding overfitting - Weigend, Mangeas, et al. - 1995
65	The analysis and selection of variables in linear regression - HOCKING - 1976
50	A Function Estimation Approach to Sequential Learning with Neural Networks - Kadirkamanathan, Niranjan - 1993
48	Predicting multivariate responses in multiple linear regression - Breiman, Friedman - 1997
32	Minimizing gcv/gml scores with multiple smoothing parameters via the newton method - Gu, Wahba - 1991
24	Regularisation in the selection of radial basis function centres - Orr - 1995
20	Applied regression analysis - Rawlings, Pantula, et al. - 1998
19	Orthogonal least squares learning for radial basis function networks - Chen, Cowan, et al. - 1991
10	Improving the generalisation properties of radial basis function neural networks - Bishop - 1991
10	Local smoothing of radial basis function networks - ORR - 1995
7	Developments in linear regression methodology: 1959-1982 (with discussion - HOCKING - 1983
5	Some comments on Cp. Technometrics - Mallows - 1973