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2009, ISBN 0521791928, xiii, 349
Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today... 
Kernel functions | Environmental sciences | Neural networks (Computer science) | Machine learning
Book
2009, Foundations and trends in computer graphics and vision, ISBN 9781601982681, Volume 4, issue 3., Issue 3, ix, [2], 99
Book
Neurocomputing, ISSN 0925-2312, 04/2017, Volume 234, pp. 116 - 125
Nyström method is a widely used matrix approximation method for scaling up kernel methods, and existing sampling strategies... 
Nyström method | Matrix approximation | Kernel methods | Predictive sampling strategy | Nystrom method | MONTE-CARLO ALGORITHMS | MATRIX DECOMPOSITIONS | SVD | APPROXIMATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Methods
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2011, Volume 20, Issue 11, pp. 3097 - 3111
Journal Article
The Annals of statistics, ISSN 0090-5364, 2008, Volume 36, Issue 3, pp. 1171 - 1220
Journal Article
International Journal for Numerical Methods in Fluids, ISSN 0271-2091, 08/2015, Volume 78, Issue 11, pp. 691 - 707
Summary The finite particle method (FPM) is a modified SPH method with high order accuracy while retaining the advantages of SPH in modeling problems with free surfaces, moving interfaces, and large deformations... 
finite particle method (FPM) | SPH | kernel function | kernel gradient | consistency | Finite particle method (FPM) | Kernel function | Kernel gradient | Consistency | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | PHYSICS, FLUIDS & PLASMAS | SMOOTHED-PARTICLE HYDRODYNAMICS | FLOW | Kernels | Accuracy | Shear | Approximation | Kernel functions | Mathematical analysis | Holes | Mathematical models
Journal Article