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Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmissionSHAMSHIRBAND, Shahaboddin; PETKOVIC, Dalibor; AMINI, Amineh et al.Energy (Oxford). 2014, Vol 67, pp 623-630, issn 0360-5442, 8 p.Article

Auto-weighted support vector machines for training sets with multi-duplicate samplesJIA YINSHAN; JIA CHUANYING; MA HENG et al.International Conference on Signal Processing. 2004, pp 1447-1450, isbn 0-7803-8406-7, 4 p.Conference Paper

Method for restoring PPG signals using ECG correspondences and SVRKIM, H; KIM, Y; KIM, J et al.Electronics letters. 2013, Vol 49, Num 24, pp 1518-1520, issn 0013-5194, 3 p.Article

Road extraction from high resolution remote sensing image based on mathematics morphologyHONGBIN MA; YAHONG ZHAO; YONGSHENG CHEN et al.Proceedings of SPIE, the International Society for Optical Engineering. 2008, Vol 7147, pp 71470O.1-71470O.8, issn 0277-786X, isbn 978-0-8194-7389-9 0-8194-7389-8Conference Paper

Knowledge mining in earth observation data archives : A domain ontology perspectiveDURBHA, Surya S; KING, Roger L.International Geoscience and Remote Sensing Symposium. 2004, isbn 0-7803-8742-2, Vol1, 172-173bConference Paper

Bi-model short-term solar irradiance prediction using support vector regressorsCHENG, Hsu-Yung; YU, Chih-Chang; LIN, Sian-Jing et al.Energy (Oxford). 2014, Vol 70, pp 121-127, issn 0360-5442, 7 p.Article

An improved cluster labeling method for support vector clusteringLEE, Jaewook; LEE, Daewon.IEEE transactions on pattern analysis and machine intelligence. 2005, Vol 27, Num 3, pp 461-464, issn 0162-8828, 4 p.Article

Source based feature extraction for support vector machines in hyperspectral classificationHALLDORSSON, Gisli H; BENEDIKTSSON, Jon Atli; SVEINSSON, Johannes R et al.International Geoscience and Remote Sensing Symposium. 2004, isbn 0-7803-8742-2, Vol1, 536-539Conference Paper

Data-oriented composite kernel-based support vector machine for image classificationJIAKUI TANG; XIANFENG ZHANG; XIUWAN CHEN et al.Proceedings of SPIE, the International Society for Optical Engineering. 2009, Vol 7471, issn 0277-786X, isbn 978-0-8194-7774-3 0-8194-7774-5, 1Vol, 74711X.1-74711X.9Conference Paper

Multiclass classification machine based on the analytical centerXIANGQIAN LI; JIANHAI YUE; YONGGANG LENG et al.International Conference on Signal Processing. 2004, pp 1471-1474, isbn 0-7803-8406-7, 4 p.Conference Paper

Using membership functions to improve multi-class SVM classificationWANG, Xiaodan; WU, Chongming.International Conference on Signal Processing. 2004, pp 1459-1462, isbn 0-7803-8406-7, 4 p.Conference Paper

Evidence of intertextuality: investigating Paul the Deacon's Angustae VitaeFORSTALL, Christopher W; JACOBSON, Sarah L; SCHEIRER, Walter J et al.Literary and linguistic computing. 2011, Vol 26, Num 3, pp 285-296, issn 0268-1145, 12 p.Conference Paper

Prediction of maize single-cross hybrid performance: support vector machine regression versus best linear predictionMAENHOUT, Steven; DE BAETS, Bernard; HAESAERT, Geert et al.Theoretical and applied genetics. 2010, Vol 120, Num 2, pp 415-427, issn 0040-5752, 13 p.Conference Paper

Classification of multispectral images by using Lagrangian support vector machinesHONGMEI ZHU; XIAOJUN YANG.Proceedings of SPIE, the International Society for Optical Engineering. 2008, Vol 7285, issn 0277-786X, isbn 978-0-8194-7545-9 0-8194-7545-9, 3Vol, 72850E.1-72850E.8, 3Conference Paper

Machine Learning in Speech and Language TechnologiesFUNG, Pascale; ROTH, Dan.Machine learning. 2005, Vol 60, Num 1-3, issn 0885-6125, 278 p.Serial Issue

A new PU learning algorithm for test classificationHAILONG YU; WANLI ZUO; TAO PENG et al.Lecture notes in computer science. 2005, pp 824-832, issn 0302-9743, isbn 3-540-29896-7, 1Vol, 9 p.Conference Paper

Multidimensional svm to include the samples of the derivatives in the reconstruction of a functionPEREZ-CRUZ, Fernando; LAZARO, Marcelino; ARTES-RODRIGUEZ, Antonio et al.EUSIPCO. Conference. 2004, isbn 3-200-00148-8, 3Vol, volI, 597-600Conference Paper

Improving RTDGPS accuracy using hybrid PSOSVM prediction modelMOHAMAD HOSEIN REFAN; DAMESHGHI, Adel; KAMARZARRIN, Mehrnoosh et al.Aerospace science and technology (Imprimé). 2014, Vol 37, pp 55-69, issn 1270-9638, 15 p.Article

Support Vector Machines in Remote Sensing: The Tricks of the TradeCAMPS-VALLS, Gustavo.Proceedings of SPIE, the International Society for Optical Engineering. 2011, Vol 8180, issn 0277-786X, isbn 978-0-8194-8807-7, 81800B.1-81800B.9Conference Paper

Predicting post-translational lysine acetylation using support vector machinesGNAD, Florian; SHUBIN REN; CHOUDHARY, Chunaram et al.Bioinformatics (Oxford. Print). 2010, Vol 26, Num 13, pp 1666-1668, issn 1367-4803, 3 p.Article

Application of distributed SVM architectures in classifying forest data cover typesTREBAR, Mira; STEELE, Nigel.Computers and electronics in agriculture. 2008, Vol 63, Num 2, pp 119-130, issn 0168-1699, 12 p.Article

Classification of Land Cover from Remote Sensing Fused Image Based on ICA-SVM and D-S Evidence TheoryMI CHEN; YINGCHUN FU; TAO SUN et al.Proceedings of SPIE, the International Society for Optical Engineering. 2008, Vol 7147, pp 71470E.1-71470E.10, issn 0277-786X, isbn 978-0-8194-7389-9 0-8194-7389-8Conference Paper

Machines à noyaux pour l'apprentissage statistique = Kernel machines for statistical learningCANU, Stéphane.Techniques de l'ingénieur. Télécoms. 2007, Vol TEB2, Num TE5255, issn 1632-3823, TE5255.1-TE5522.20Article

Applications of neural networksSMITH, Kate A.Computers & operations research. 2005, Vol 32, Num 10, issn 0305-0548, 237 p.Serial Issue

Least squares littlewood-paley wavelet support vector machineFANGFANG WU; YINLIANG ZHAO.Lecture notes in computer science. 2005, pp 462-472, issn 0302-9743, isbn 3-540-29896-7, 1Vol, 11 p.Conference Paper

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