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Results 1 to 25 of 989

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Multiclass Lagrangian support vector machineJAE PIL HWANG; BAEHOON CHOI; IN WHA HONG et al.Neural computing & applications (Print). 2013, Vol 22, Num 3-4, pp 703-710, issn 0941-0643, 8 p.Article

Learning using privileged information: SVM+ and weighted SVMLAPIN, Maksim; HEIN, Matthias; SCHIELE, Bernt et al.Neural networks. 2014, Vol 53, pp 95-108, issn 0893-6080, 14 p.Article

Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classificationGAONKAR, Bilwaj; DAVATZIKOS, Christos.NeuroImage (Orlando, Fla.). 2013, Vol 78, pp 270-293, issn 1053-8119, 24 p.Article

Evaluation of hybrid forecasting approaches for wind speed and power generation time seriesJING SHI; JINMEI GUO; SONGTAO ZHENG et al.Renewable & sustainable energy review. 2012, Vol 16, Num 5, pp 3471-3480, issn 1364-0321, 10 p.Article

A rough margin-based one class support vector machineYITIAN XU; CHUNMEI LIU.Neural computing & applications (Print). 2013, Vol 22, Num 6, pp 1077-1084, issn 0941-0643, 8 p.Article

Fault diagnosis of WWTP based on improved support vector machineZENG, G. M; LI, X. D; JIANG, R et al.Environmental engineering science. 2006, Vol 23, Num 6, pp 1044-1054, issn 1092-8758, 11 p.Article

Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVMADANKON, Mathias M; CHERIET, Mohamed; BIEM, Alain et al.IEEE transactions on neural networks. 2011, Vol 22, Num 4, pp 513-524, issn 1045-9227, 12 p.Article

A comparison of reduced support vector machines : Intelligent decision support systemsLIHONG ZHENG; XIANGJIAN HE.International journal of intelligent systems technologies and applications (Print). 2008, Vol 4, Num 3-4, pp 301-312, issn 1740-8865, 12 p.Article

A method for dynamics identification for haptic display of the operating feel in virtual environmentsLI, Y. F; BI, D.IEEE/ASME transactions on mechatronics. 2003, Vol 8, Num 4, pp 476-482, issn 1083-4435, 7 p.Article

Kernel-based orthogonal projections to latent structures (K-OPLS)RANTALAINEN, Mattias; BYLESJÖ, Max; CLOAREC, Olivier et al.Journal of chemometrics. 2007, Vol 21, Num 7-9, pp 376-385, issn 0886-9383, 10 p.Article

Hepatitis disease diagnosis using a novel hybrid method based on support vector machine and simulated annealing (SVM-SA)SALIMI SARTAKHTI, Javad; HOSSEIN ZANGOOEI, Mohammad; MOZAFARI, Kourosh et al.Computer methods and programs in biomedicine (Print). 2012, Vol 108, Num 2, pp 570-579, issn 0169-2607, 10 p.Article

An Improved Algorithm for the Solution of the Regularization Path of Support Vector MachineONG, Chong-Jin; SHIYUN SHAO; JIANBO YANG et al.IEEE transactions on neural networks. 2010, Vol 21, Num 3, pp 451-462, issn 1045-9227, 12 p.Article

Fine tuning support vector machines for short-term wind speed forecastingJUNYI ZHOU; JING SHI; GONG LI et al.Energy conversion and management. 2011, Vol 52, Num 4, pp 1990-1998, issn 0196-8904, 9 p.Article

Multi-task least-squares support vector machinesSHUO XU; XIN AN; XIAODONG QIAO et al.Multimedia tools and applications. 2014, Vol 71, Num 2, pp 699-715, issn 1380-7501, 17 p.Article

A new learning paradigm: Learning using privileged informationVAPNIK, Vladimir; VASHIST, Akshay.Neural networks. 2009, Vol 22, Num 5-6, pp 544-557, issn 0893-6080, 14 p.Conference Paper

Denoised P300 and machine learning-based concealed information test methodJUNFENG GAO; XIANGGUO YAN; JIANCHENG SUN et al.Computer methods and programs in biomedicine (Print). 2011, Vol 104, Num 3, pp 410-417, issn 0169-2607, 8 p.Article

3-D Reconstruction of Encephalic Tissue in MR Images Using Immune Sphere-Shaped SVMsLEI GUO; YING LI; DONGBO MIAO et al.IEEE transactions on magnetics. 2011, Vol 47, Num 5, pp 870-873, issn 0018-9464, 4 p.Conference Paper

Antimicrobial Activity of the Synthetic Peptide Scolopendrasin II from the Centipede Scolopendra subspinipes mutilansKWON, Young-Nam; JOON HA LEE; JAE SAM HWANG et al.Journal of microbiology and biotechnology. 2013, Vol 23, Num 10, pp 1381-1385, issn 1017-7825, 5 p.Article

An adaptive class pairwise dimensionality reduction algorithmLIFANG HE; XIAOWEI YANG; ZHIFENG HAO et al.Neural computing & applications (Print). 2013, Vol 23, Num 2, pp 299-310, issn 0941-0643, 12 p.Article

Imbalanced data classification using second-order cone programming support vector machinesMALDONADO, Sebastián; LOPEZ, Julio.Pattern recognition. 2014, Vol 47, Num 5, pp 2070-2079, issn 0031-3203, 10 p.Article

Effects of kernel function on nu support vector machines in extreme casesIKEDA, Kazushi.IEEE transactions on neural networks. 2006, Vol 17, Num 1, pp 1-9, issn 1045-9227, 9 p.Article

Presentation of a control law for IM drive based on the dynamic reconfiguration of a DTC algorithm and a SVM-DTC algorithmMONMASSON, E; LOUIS, J. P.Mathematics and computers in simulation. 2003, Vol 63, Num 3-5, pp 321-333, issn 0378-4754, 13 p.Conference Paper

User verification based on the support vector machine using intra-body propagation signalsNAKANISHI, Isao; SODANI, Yuuta; SHIGANG LI et al.International journal of biometrics (Print). 2013, Vol 5, Num 3-4, pp 321-335, issn 1755-8301, 15 p.Article

A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing DataWENKAI LI; QINGHUA GUO; ELKAN, Charles et al.IEEE transactions on geoscience and remote sensing. 2011, Vol 49, Num 2, pp 717-725, issn 0196-2892, 9 p.Article

Least squares one-class support vector machineCHOI, Young-Sik.Pattern recognition letters. 2009, Vol 30, Num 13, pp 1236-1240, issn 0167-8655, 5 p.Article

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