Search results for "Least squares support vector machines"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	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
3	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)
2	Yue Zhu, Lingmi Zhang	Finite Element Model Updating Based on Least Squares Support Vector Machines.	ISNN	2009	DBLP DOI BibTeX RDF
2	Yunhong Gao, Yibo Li	Fault Prediction Model Based on Phase Space Reconstruction and Least Squares Support Vector Machines.	HIS	2009	DBLP DOI BibTeX RDF	fault prediction model, gyroscope drift, least squares support vector machines, phase space reconstruction
2	Yang Zhang, Yuncai Liu	Missing traffic flow data prediction using least squares support vector machines in urban arterial streets.	CIDM	2009	DBLP DOI BibTeX RDF
2	Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel	Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints.	IWANN	2009	DBLP DOI BibTeX RDF	failure time data, ls-svm, feature selection
2	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
2	Shigeo Abe	Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis.	ANNPR	2008	DBLP DOI BibTeX RDF
2	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
2	Qian Zhang, Fuling Fan, Lan Wang	Online Least Squares Support Vector Machines Based on Wavelet and Its Applications.	ISNN	2007	DBLP DOI BibTeX RDF
2	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
2	Bo Tian, Zheng Qin, Lei Yang	Population Forecasting Model Based on Wavelet Least Squares Support Vectors Machines.	ICIC	2007	DBLP DOI BibTeX RDF	population forecasting, wavelet kernel function, least squares support vector machines
2	Shigeo Abe	Sparse least squares support vector training in the reduced empirical feature space.	Pattern Anal. Appl.	2007	DBLP DOI BibTeX RDF	Empirical feature space, RBF kernels, Support vector machines, Pattern classification, Least squares support vector machines, Cholesky factorization, Multi-class support vector machines
2	Lijuan Li, Youfeng Li, Hongye Su, Jian Chu	Least Squares Support Vector Machines Based on Support Vector Degrees.	ICIC	2006	DBLP DOI BibTeX RDF
2	Jingqing Jiang, Chuyi Song, Chunguo Wu, Yangchun Liang, Xiaowei Yang, Zhifeng Hao	Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.	ISNN	2006	DBLP DOI BibTeX RDF
2	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
2	X. C. Guo, Yangchun Liang, Chunguo Wu, C. Y. Wang	PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers.	ICONIP	2006	DBLP DOI BibTeX RDF	classification, particle swarm optimization, fitness function, parameter selection, least squares support vector machines
2	Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor	Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.	Machine Learning	2006	DBLP DOI BibTeX RDF	regulatization, optimizatioon, model selection, Least Squares Support Vector Machines
2	Xiaojing Liu, Jianqiang Yi, Dongbin Zhao	Adaptive Inverse Control System Based on Least Squares Support Vector Machines.	ISNN	2005	DBLP DOI BibTeX RDF
2	Jiancheng Sun, Lun Yu, Guang Yang, Congde Lu	Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Stationary Wavelet Transform.	ISNN	2005	DBLP DOI BibTeX RDF
2	Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga	A Hybrid Approach for Sparse Least Squares Support Vector Machines.	HIS	2005	DBLP DOI BibTeX RDF
2	Zheng Xiang, Taiyi Zhang, Jiancheng Sun	Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space.	ICNC	2005	DBLP DOI BibTeX RDF
2	Xiangjun Wen, Xiaoming Xu, Yunze Cai	Study of On-line Weighted Least Squares Support Vector Machines.	ICNC	2005	DBLP DOI BibTeX RDF
2	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
2	Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen	LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator.	ICANN	2005	DBLP DOI BibTeX RDF	Regression, Least Squares Support Vector Machines, Leave-one-out, Noise Estimation
2	Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse	Direct and Recursive Prediction of Time Series Using Mutual Information Selection.	IWANN	2005	DBLP DOI BibTeX RDF	Direct Prediction, Recursive Prediction, Least Squares Support Vector Machines and Prediction Strategy, Mutual Information, Time Series Prediction
2	Jiancheng Sun, Taiyi Zhang, Haiyuan Liu	Modelling of Chaotic Systems with Novel Weighted Recurrent Least Squares Support Vector Machines.	ISNN	2004	DBLP DOI BibTeX RDF
2	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
2	Gavin C. Cawley, Nicola L. C. Talbot	A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines.	ICANN	2002	DBLP DOI BibTeX RDF
1	Glauber Souto dos Santos, Luiz Guilherme Justi Luvizotto, Viviana Cocco Mariani, Leandro dos Santos Coelho	Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Bing Li, Shiji Song, Kang Li	Improved conjugate gradient implementation for least squares support vector machines.	Pattern Recognition Letters	2012	DBLP DOI BibTeX RDF
1	Yunfeng Wu, Sridhar Krishnan	Combining least-squares support vector machines for classification of biomedical signals: a case study with knee-joint vibroarthrographic signals.	J. Exp. Theor. Artif. Intell.	2011	DBLP DOI BibTeX RDF
1	C. M. Vong, P. K. Wong	Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Jonglak Pahasa, Issarachai Ngamroo	A heuristic training-based least squares support vector machines for power system stabilization by SMES.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Chunli Xie, Cheng Shao, Dandan Zhao	Parameters Optimization of Least Squares Support Vector Machines and Its Application.	JCP	2011	DBLP DOI BibTeX RDF
1	Tsung-Jung Hsieh, Wei-Chang Yeh	Knowledge Discovery Employing Grid Scheme Least Squares Support Vector Machines Based on Orthogonal Design Bee Colony Algorithm.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2011	DBLP DOI BibTeX RDF
1	Huawei Chen, Wee Ser	Sound Source DOA Estimation and Localization in Noisy Reverberant Environments Using Least-Squares Support Vector Machines.	Signal Processing Systems	2011	DBLP DOI BibTeX RDF
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	Dachun Chen	Daily Reference Evapotranspiration Estimation Based on Least Squares Support Vector Machines.	CCTA	2011	DBLP DOI BibTeX RDF
1	Qingsong Xu, Pak-Kin Wong, Yangmin Li	Rate-Dependent Hysteresis Modeling and Compensation Using Least Squares Support Vector Machines.	ISNN	2011	DBLP DOI BibTeX RDF
1	Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro	Momentum Acceleration of Least-Squares Support Vector Machines.	ICANN	2011	DBLP DOI BibTeX RDF
1	Junjie Zou, Zhengtao Yu, Huanyun Zong, Xing Zhao	Active Learning for Sparse Least Squares Support Vector Machines.	AICI	2011	DBLP DOI BibTeX RDF
1	Clodoaldo Ap. M. Lima, André L. V. Coelho, Marcio Eisencraft	Tackling EEG signal classification with least squares support vector machines: A sensitivity analysis study.	Comp. in Bio. and Med.	2010	DBLP DOI BibTeX RDF
1	Xiaoyun Teng, Xiaoyi Zhang, Hongyi Yu	Using Least Squares Support Vector Machines for Frequency Estimation.	IJCNS	2010	DBLP DOI BibTeX RDF
1	S. Deng, Tsung-Han Yeh	Applying least squares support vector machines to the airframe wing-box structural design cost estimation.	Expert Syst. Appl.	2010	DBLP DOI BibTeX RDF
1	Ligang Zhou, Kin Keung Lai, Lean Yu	Least squares support vector machines ensemble models for credit scoring.	Expert Syst. Appl.	2010	DBLP DOI BibTeX RDF
1	Arjan Gijsberts, Giorgio Metta, Léon J. M. Rothkrantz	Evolutionary Optimization of Least-Squares Support Vector Machines.	Data Mining	2010	DBLP DOI BibTeX RDF
1	Zhi-Wei Zhang, Degang Chen, Qiang He, Hui Wang	Least squares support vector machines based on fuzzy rough set.	SMC	2010	DBLP DOI BibTeX RDF
1	Tillmann Falck, Johan A. K. Suykens, Bart De Moor	Linear parametric noise models for Least Squares Support Vector Machines.	CDC	2010	DBLP DOI BibTeX RDF
1	Jing Li, Long Xue, Muhua Liu, Xiao Wang, Chunsheng Luo	Determination of dichlorvos contamination on navel orange surface based on least squares support vector machines.	ICNC	2010	DBLP DOI BibTeX RDF
1	Liang Xu, XiaoBo Zhang	Incorporating prior knowledge in a fuzzy least squares support vector machines model.	ICNC	2010	DBLP DOI BibTeX RDF
1	Mounira Tarhouni, Kaouther Laabidi, Moufida Lahmari-Ksouri, Salah Zidi	System Identification based on Multi-kernel Least Squares Support Vector Machines (Multi-kernel LS-SVM).	IJCCI (ICFC-ICNC)	2010	DBLP BibTeX RDF
1	Ting Gao, Hui Li, Dong-Bing Pu, Ying-Hua Lu, Hai-Bin Li, Hong-Zhi Li, Zhongmin Su	Accurate Prediction of Transition Energies in Organic Molecules.	FCST	2010	DBLP DOI BibTeX RDF	transition energies, Least squares support vector machines, HF
1	Muhsin Tunay Gençoglu, Murat Uyar	Prediction of flashover voltage of insulators using least squares support vector machines.	Expert Syst. Appl.	2009	DBLP DOI BibTeX RDF
1	Hikmet Esen, Filiz Ozgen, Mehmet Esen, Abdulkadir Sengür	Modelling of a new solar air heater through least-squares support vector machines.	Expert Syst. Appl.	2009	DBLP DOI BibTeX RDF
1	Abdulkadir Sengür	Multiclass least-squares support vector machines for analog modulation classification.	Expert Syst. Appl.	2009	DBLP DOI BibTeX RDF
1	Lean Yu, Huanhuan Chen, Shouyang Wang, Kin Keung Lai	Evolving Least Squares Support Vector Machines for Stock Market Trend Mining.	IEEE Trans. Evolutionary Computation	2009	DBLP DOI BibTeX RDF
1	Zaifei Liao, Tian Yang, Xinjie Lu, Hongan Wang	Data Prediction in Manufacturing: An Improved Approach Using Least Squares Support Vector Machines.	DBTA	2009	DBLP DOI BibTeX RDF
1	Dongxiao Niu, Haitao Lv, Yunyun Zhang	Combination Forecasting Model for Mid-long Term Load Based on Least Squares Support Vector Machines and a Mended Particle Swarm Optimization Algorithm.	IJCBS	2009	DBLP DOI BibTeX RDF
1	Haini Qu, Yacine Oussar, Gérard Dreyfus, Weisheng Xu	Regularized Recurrent Least Squares Support Vector Machines.	IJCBS	2009	DBLP DOI BibTeX RDF
1	Han Liu, Ding Liu	A neural network approach for least squares support vector machines learning.	CDC	2009	DBLP DOI BibTeX RDF
1	Jigang Wang, Yonghui Hu, Jiangcun Zhou	Combining Model for Regional GPS Height Conversion Based on Least Squares Support Vector Machines.	ESIAT	2009	DBLP DOI BibTeX RDF	combined model, GPS height, geodetic height formatting, least square support vector machines
1	Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui	Subspace based least squares support vector machines for pattern classification.	IJCNN	2009	DBLP DOI BibTeX RDF
1	Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben	Pattern classification with mixtures of weighted least-squares support vector machine experts.	Neural Computing and Applications	2009	DBLP DOI BibTeX RDF	Pattern classification, Hybridization, Least squares support vector machines, Mixtures of experts
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	Róbert Ormándi	Variance Minimization Least Squares Support Vector Machines for Time Series Analysis.	ICDM	2008	DBLP DOI BibTeX RDF
1	Chen-Chia Chuang, Jin-Tsong Jeng, Mei-Lang Chan	Robust least squares-support vector machines for regression with outliers.	FUZZ-IEEE	2008	DBLP DOI BibTeX RDF
1	Gangquan Si, Hui Cao, Yanbin Zhang, Lixin Jia	Ball Mill Load Measurement Using Self-adaptive Feature Extraction Method and LS-SVM Model.	ICIC	2008	DBLP DOI BibTeX RDF	Ball mill pulverizing system, self-adaptive feature extraction, softsensing, least squares support vector machines
1	Kai Yu, Shenghuo Zhu, Wei Xu, Yihong Gong	trNon-greedy active learning for text categorization using convex ansductive experimental design.	SIGIR	2008	DBLP DOI BibTeX RDF	transductive experimental design, active learning, text categorization, convex optimization
1	Jin Ye, Sheng Zheng, Changcai Yang	SVM-Based Microcalcification Detection in Digital Mammograms.	CSSE	2008	DBLP DOI BibTeX RDF
1	Yongzhong Xing, Xiaobei Wu, Zhiliang Xu	Multiclass Least Squares Wavelet Support Vector Machines.	ICNSC	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	Everthon Silva Fonseca, Rodrigo Capobianco Guido, Paulo Rogério Scalassara, Carlos Dias Maciel, Jose Carlos Pereira	Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders.	Comp. in Bio. and Med.	2007	DBLP DOI BibTeX RDF
1	Zhe Wang, Songcan Chen	New Least Squares Support Vector Machines Based on Matrix Patterns.	Neural Processing Letters	2007	DBLP DOI BibTeX RDF	Fuzzy least squares support vector machine (FLS-SVM), Vector pattern, Matrix pattern, Pattern recognition, Support vector machine (SVM), Least squares support vector machine (LS-SVM)
1	Tahir Farooq, Aziz Guergachi, Sridhar Krishnan	Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines.	SMC	2007	DBLP DOI BibTeX RDF
1	Xusheng Gan, Hongcai Zhnag, Yongmei Cheng, Chao Shi	Aerodynamic Parameter Fitting Based on Robust Least Squares Support Vector Machines.	SNPD	2007	DBLP DOI BibTeX RDF
1	K. L. Mak, D. H. Yang	Forecasting Hong Kong's Container Throughput with Approximate Least Squares Support Vector Machines.	World Congress on Engineering	2007	DBLP BibTeX RDF
1	Andreas Klausner, Allan Tengg, Bernhard Rinner	Enhanced Least Squares Support Vector Machines for Decision Modeling in a Multi-Sensor Fusion Framework.	Artificial Intelligence and Pattern Recognition	2007	DBLP 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	Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens	Multi-class kernel logistic regression: a fixed-size implementation.	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	Chuan Lu, Andy Devos, Johan A. K. Suykens, Carles Arús, Sabine Van Huffel	Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis.	IEEE Transactions on Information Technology in Biomedicine	2007	DBLP DOI BibTeX RDF
1	Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor	A Convex Approach to Validation-Based Learning of the Regularization Constant.	IEEE Transactions on Neural Networks	2007	DBLP DOI BibTeX RDF
1	Yejing Bao, Xun Zhang, Lean Yu, Shouyang Wang	Crude Oil Price Prediction Based On Multi-scale Decomposition.	International Conference on Computational Science	2007	DBLP DOI BibTeX RDF	crude oil price, least squares vector machines, wavelet transform
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	Hua Liang, Bolin Wang	Identification of MIMO Hammerstein Models Using Support Vector Machine.	ISNN	2007	DBLP DOI BibTeX RDF
1	Changyin Sun, Jinya Song	An Adaptive Internal Model Control Based on LS-SVM.	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	Chi-Man Vong, Pak-Kin Wong, Yi-Ping Li	Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference.	Eng. Appl. of AI	2006	DBLP DOI BibTeX RDF
1	Jiancheng Sun, Yatong Zhou, Yaohui Bai, Jianguo Luo	Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines.	ICONIP	2006	DBLP DOI BibTeX RDF
1	Talieh Seyed Tabatabaei, Tahir Farooq, Aziz Guergachi, Sridhar Krishnan	Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant.	CCECE	2006	DBLP DOI BibTeX RDF
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	Gavin C. Cawley	Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Jian Cheng, Jian-Sheng Qian, Yi-Nan Guo	A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction.	ICONIP	2006	DBLP DOI BibTeX RDF
1	Jun Li, Jun-Hua Liu	Identification and Control of Dynamic Systems Based on Least Squares Wavelet Vector Machines.	ISNN	2006	DBLP DOI BibTeX RDF
1	Xinggao Liu	Product Quality Prediction with Support Vector Machines.	ISNN	2006	DBLP DOI BibTeX RDF
1	Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Xiushan Cai, Jinshan Wang, Meiying Ye	Online Modeling of Nonlinear Systems Using Improved Adaptive Kernel Methods.	ISNN	2006	DBLP DOI BibTeX RDF
1	Z. Ying, K. C. Keong	Fast leave-one-out evaluation for dynamic gene selection.	Soft Comput.	2006	DBLP DOI BibTeX RDF