Data classification with radial basis function networks based on a novel kernel density estimation algorithm
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Yen-Jen Oyang | Yu-Yen Ou | Chien-Yu Chen | Zhi-Wei Chen | Shien-Ching Hwang | Chien-Yu Chen | Yu-Yen Ou | Shien-Ching Hwang | Zhi-Wei Chen | Yen-Jen Oyang
[1] Kiri Wagstaff,et al. Alpha seeding for support vector machines , 2000, KDD '00.
[2] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[3] I. Miller. Probability, Random Variables, and Stochastic Processes , 1966 .
[4] M. J. D. Powell,et al. Radial basis functions for multivariable interpolation: a review , 1987 .
[5] John Hallam,et al. Assessing RBF Networks Using DELVE , 2000, Int. J. Neural Syst..
[6] S. Sathiya Keerthi,et al. Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms , 2002, IEEE Trans. Neural Networks.
[7] Richard K. Beatson,et al. Fast Solution of the Radial Basis Function Interpolation Equations: Domain Decomposition Methods , 2000, SIAM J. Sci. Comput..
[8] L. Gordon,et al. The Gamma Function , 1994, Series and Products in the Development of Mathematics.
[9] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[10] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[11] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[12] Richard K. Beatson,et al. Fast Evaluation of Radial Basis Functions: Methods for Four-Dimensional Polyharmonic Splines , 2001, SIAM J. Math. Anal..
[13] John G. Proakis,et al. Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..
[14] Sayan Mukherjee,et al. Choosing Multiple Parameters for Support Vector Machines , 2002, Machine Learning.
[15] R. Beatson,et al. Fast evaluation of radial basis functions : methods for two-dimensional polyharmonic splines , 1997 .
[16] Alain Billat,et al. A general approach to construct RBF net-based classifier , 1999, ESANN.
[17] Sung Yang Bang,et al. An Efficient Method to Construct a Radial Basis Function Neural Network Classifier , 1997, Neural Networks.
[18] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[19] Mohamad T. Musavi,et al. On the training of radial basis function classifiers , 1992, Neural Networks.
[20] B. Silverman. Density estimation for statistics and data analysis , 1986 .
[21] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[22] Paolo Frasconi,et al. Learning without local minima in radial basis function networks , 1995, IEEE Trans. Neural Networks.
[23] S. Sathiya Keerthi,et al. Evaluation of simple performance measures for tuning SVM hyperparameters , 2003, Neurocomputing.
[24] Christopher J. Merz,et al. UCI Repository of Machine Learning Databases , 1996 .
[25] Dustin Boswell,et al. Introduction to Support Vector Machines , 2002 .
[26] John Mark,et al. Introduction to radial basis function networks , 1996 .
[27] Chris Bishop,et al. Improving the Generalization Properties of Radial Basis Function Neural Networks , 1991, Neural Computation.
[28] Bernhard Schölkopf,et al. Comparing support vector machines with Gaussian kernels to radial basis function classifiers , 1997, IEEE Trans. Signal Process..
[29] Mark J. L. Orr. Optimising the widths of radial basis functions , 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).
[30] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[31] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[32] Ian Witten,et al. Data Mining , 2000 .
[33] Susan T. Dumais,et al. Inductive learning algorithms and representations for text categorization , 1998, CIKM '98.
[34] CentresMark,et al. Regularisation in the Selection of Radial Basis Function , 1995 .
[35] Yen-Jen Oyang,et al. A novel learning algorithm for data classification with radial basis function networks , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..
[36] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[37] Bruno O. Shubert,et al. Random variables and stochastic processes , 1979 .
[38] Mark J. L. Orr,et al. Regularization in the Selection of Radial Basis Function Centers , 1995, Neural Computation.