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https://www.researchgate.net/publication/8345770_Wavelet_Support_Vector_Machine
An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented.
http://www.mipg.upenn.edu/yubing/2005ICMLC.pdf
WAVELET KERNEL SUPPORT VECTOR MACHINES FOR SPARSE APPROXIMATION1 Tong Yubing Yang Dongkai Zhang Qishan (Dept of Electronic Information Engineering, Beijing University of Aeronautics and astronautics, Beijing 100083, China) Abstract Wavelet, a powerful tool for signal processing, can be used to approximate the target func-tion.
https://journals.ametsoc.org/doi/full/10.1175/WAF-D-11-00004.1
Apr 01, 2012 · This study presents two support vector machine (SVM) based models for forecasting hourly precipitation during tropical cyclone (typhoon) events. The two SVM-based models are the traditional Gaussian kernel SVMs (GSVMs) and the advanced wavelet kernel SVMs (WSVMs).Cited by: 24
https://www.sciencedirect.com/science/article/pii/S0377042709007286
Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system. Author links open overlay panel Qi Wu. Show more. ... we present a hybrid intelligent system combining the wavelet kernel support vector machine and particle swarm optimization for demand forecasting.Cited by: 70
https://www.sciencedirect.com/science/article/pii/S092523121930668X
On the other hand, wavelet kernel support vector machine is shown to be successful in applications such as regression and classification, see , , , , , . This motivates our investigation of wavelet kernel support vector machine for solving differential equations.Author: Lin Dong, Jie Liao
https://mafiadoc.com/wavelet-kernel-support-vector-machines-for-sparse-mrim_5c1a5453097c479b7b8b45cf.html
2. WKSVM (1) Kernel function of SVM The kernel function of SVM can be dotproduct or translation-invariant[7]. Mercy theory has given the conditions that admitted dot-product kernel must satisfy. K (u , v) can be an admitted kernel function TONG et al. Wavelet Kernel Support Vector Machines for …
https://www.deepdyve.com/lp/elsevier/wavelet-kernel-support-vector-machines-forecasting-techniques-case-GVAqUlOZsq
Apr 01, 2012 · Read "Wavelet kernel support vector machines forecasting techniques: Case study on water-level predictions during typhoons, Expert Systems with Applications" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at …
https://dl.acm.org/citation.cfm?id=2109514
This paper presents a novel algorithm, wavelet support vector machines (wavelet SVMs), for forecasting the hourly water levels at gauging stations. These stations are under strong precipitations and affected by tidal effects during typhoons. An admissible wavelet kernel SVMs implements the combination of wavelet technique with SVMs.Cited by: 25
https://ieeexplore.ieee.org/document/1262479/
Abstract: An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented. The wavelet kernel is a kind of multidimensional wavelet function that can approximate arbitrary nonlinear functions. The existence of wavelet kernels is proven by results of theoretic analysis.Cited by: 575
http://www.umich.edu/~racelab/static/Webpublication/2009-MATCOM-CharlesL.pdf
However, for the support vector regression with the standard quadratic programming technique, the implementation is computationally expensive and sufficient model sparsity cannot be guaranteed. In this article, from the perspective of model sparsity, the linear programming support vector regression (LP-SVR) with wavelet kernel was proposed,
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