51st IEEE Conference on Decision and Control December 10-13, 2012. Maui, Hawaii, USA Nonlinear Gaussian Filtering via Radial Basis Function Approximation Huazhen Fang, Jia Wang and Raymond A. de Callafon

Source URL: maeresearch.ucsd.edu

DOI: j01783.x COMPUTER GRAPHICS forum

Source URL: www.wisdom.weizmann.ac.il

• Algebra
• Mathematics
• Linear algebra
• Multivariate statistics
• Matrix theory
• Dimension reduction
• Interpolation
• Principal component analysis
• Eigenvalues and eigenvectors
• Kernel principal component analysis
• Eigendecomposition of a matrix
• Radial basis function

. .  , 2003, . 24, . 6, 1237–1258 Performance evaluation of spatial interpolation methods in the presence of noise ¨ ZPINAR and L. O ¨ ZDAMAR†

Source URL: www.geog.ucsb.edu

• Interpolation
• Geostatistics
• Kriging
• Multivariate interpolation
• Variogram
• Radial basis function
• Semivariance
• Regression analysis
• Regression-Kriging
• Gaussian process

Implementation and Development of Optimised Spectral Wave Hindcasting Techniques

Source URL: www.waveworkshop.org

• Downscaling
• Interpolation
• Radial basis function

1 Kernel Optimization in Discriminant Analysis Di You, Onur C. Hamsici and Aleix M. Martinez Dept. Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210

Source URL: www2.ece.ohio-state.edu

• Linear algebra
• Functional analysis
• Multivariate statistics
• Statistical classification
• Operator theory
• Normal distribution
• Linear discriminant analysis
• Kernel method
• Kernel principal component analysis
• Distribution
• Radial basis function kernel
• Positive-definite kernel

Automatically Grading Learners’ English Using a Gaussian Process Rogier C. van Dalen, Kate M. Knill, Mark J. F. Gales ALTA Institute / Department of Engineering, University of Cambridge, United Kingdom {rcv25,kmk1001,m

Source URL: mi.eng.cam.ac.uk

• Geostatistics
• Covariance and correlation
• Stochastic processes
• Interpolation
• Gaussian process
• Normal distribution
• Covariance function
• Kernel method
• Speech recognition
• Radial basis function
• Correlation and dependence
• Variance

PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdo

Source URL: www.maths.lse.ac.uk

• Computational learning theory
• Artificial neural networks
• Machine learning
• Computational statistics
• Learning
• VC dimension
• Sample complexity
• Probably approximately correct learning
• Backpropagation
• Perceptron
• Vladimir Vapnik
• Radial basis function network

Machine Learning Techniques (機器學習技法) Lecture 14: Radial Basis Function Network Hsuan-Tien Lin (林軒田)

Source URL: www.csie.ntu.edu.tw

Machine Learning Techniques (機器學習技法) Lecture 14: Radial Basis Function Network Hsuan-Tien Lin (林軒田)

Source URL: www.csie.ntu.edu.tw

Overview Linear and Nonlinear Functions Function Classes, Feature Extraction, Dot Products Polynomial Kernels Features, Explicit Representation Radial Basis Function Kernels

Source URL: alex.smola.org