Search results for "Least Squares Support Vector Machines (LS-SVM)"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Ming-guang Zhang, Zhan-ming Li, Wen-hui Li	Study on Least Squares Support Vector Machines Algorithm and Its Application.	ICTAI	2005	DBLP DOI BibTeX RDF	soft-sensor modeling, SVM, identification, Least Squares Support Vector Machines (LS-SVM)
1	Ching-Lu Hsieh, Chao-Yung Hung, Ching-Yun Kuo	Quantization of Adulteration Ratio of Raw Cow Milk by Least Squares Support Vector Machines (LS-SVM) and Visible/Near Infrared Spectroscopy.	EANN/AIAI	2011	DBLP DOI BibTeX RDF
1	Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor	Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.	ICANN	2009	DBLP DOI BibTeX RDF	Robustness, Kernel methods, Least Squares Support Vector Machines, Reweighting
1	Ginés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén	Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.	ICANN	2009	DBLP DOI BibTeX RDF
1	Dongxiao Niu, Bingen Kou, Yunyun Zhang, Zhihong Gu	A Short-Term Load Forecasting Model Based on LS-SVM Optimized by Dynamic Inertia Weight Particle Swarm Optimization Algorithm.	ISNN	2009	DBLP DOI BibTeX RDF	Dynamic inertia weight, PSO, Short-term load forecasting, LS-SVM
1	Yue Zhu, Lingmi Zhang	Finite Element Model Updating Based on Least Squares Support Vector Machines.	ISNN	2009	DBLP DOI BibTeX RDF
1	Jin Ye, Sheng Zheng, Changcai Yang	SVM-Based Microcalcification Detection in Digital Mammograms.	CSSE	2008	DBLP DOI BibTeX RDF
1	Qisong Chen, Yun Wu, Xiaowei Chen	Research on Customers Demand Forecasting for E-business Web Site Based on LS-SVM.	ISECS	2008	DBLP DOI BibTeX RDF	customers demand, forecasting, E-business, LS-SVM
1	Jerzy Martyna	An Application of LS-SVM Method for Clustering in Wireless Sensor Networks.	New Challenges in Applied Intelligence Technologies	2008	DBLP DOI BibTeX RDF
1	Carlos Alzate, Johan A. K. Suykens	ICA through an LS-SVM based Kernel CCA Measure for Independence.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Amaury Lendasse, Elia Liitiäinen	Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Fabian Ojeda, Johan A. K. Suykens, Bart De Moor	Variable selection by rank-one updates for least squares support vector machines.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Anthony Kuh, Philippe De Wilde	Comments on "Pruning Error Minimization in Least Squares Support Vector Machines".	IEEE Transactions on Neural Networks	2007	DBLP DOI BibTeX RDF
1	Jian Cheng, Jian-Sheng Qian, Xiang-ting Wang, Licheng Jiao	Integrating KPCA and LS-SVM for Chaotic Time Series Forecasting Via Similarity Analysis.	ISNN	2007	DBLP DOI BibTeX RDF
1	Qian Zhang, Fuling Fan, Lan Wang	Online Least Squares Support Vector Machines Based on Wavelet and Its Applications.	ISNN	2007	DBLP DOI BibTeX RDF
1	Mu Xiangyang, Zhang Taiyi, Zhou Yatong	Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation.	MICAI	2007	DBLP DOI BibTeX RDF	Scaling kernel, Least squares support vector machine, Reproducing kernel Hilbert spaces
1	Carlos Alzate, Johan A. K. Suykens	A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Fangfang Li, Yingkai Zhao, ZhiBing Jiang	The Prediction of Oil Quality based On Least Squares Support Vector Machines and Daubechies wavelet and Mallat algorithm.	ISDA	2006	DBLP DOI BibTeX RDF	Least Squares Vector Machines (LS-SVM), oil quality, Mallat algorithm, prediction, Daubechies wavelet
1	Lijuan Li, Youfeng Li, Hongye Su, Jian Chu	Least Squares Support Vector Machines Based on Support Vector Degrees.	ICIC	2006	DBLP DOI BibTeX RDF
1	Jerzy Martyna	Least Squares Support Vector Machines for Bandwidth Reservation in Wireless IP Networks.	IEA/AIE	2006	DBLP DOI BibTeX RDF	wireless networks, least squares support vector machines, bandwidth reservation
1	Xinggao Liu	Product Quality Prediction with Support Vector Machines.	ISNN	2006	DBLP DOI BibTeX RDF
1	Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor	Load Forecasting Using Fixed-Size Least Squares Support Vector Machines.	IWANN	2005	DBLP DOI BibTeX RDF
1	Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor	A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines.	ICONIP	2004	DBLP DOI BibTeX RDF