Pascal and Francis Bibliographic Databases

Help

Search results

Your search

kw.\*:("Machine vecteur support")

Filter

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Document Type [dt]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Publication Year[py]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Discipline (document) [di]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Language

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Author Country

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Results 1 to 25 of 2026

  • Page / 82
Export

Selection :

  • and

Automatic prediction of gender, political affiliation, and age in Swedish politicians from the wording of their speeches: A comparative study of ctassifiabitityDAHLLÖF, Mats.Literary and linguistic computing. 2012, Vol 27, Num 2, pp 139-153, issn 0268-1145, 15 p.Article

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

A comparative study of machine learning methods for authorship attribution = Une étude comparative des méthodes d'apprentissage automatique pour l'attribution de la paternité textuelleJOCKERS, Matthew L; WITTEN, Daniela M.Literary and linguistic computing. 2010, Vol 25, Num 2, pp 215-223, issn 0268-1145, 9 p.Article

What is a support vector machine?NOBLE, William S.Nature biotechnology. 2006, Vol 24, Num 12, pp 1565-1567, issn 1087-0156, 3 p.Article

Computational estimation of nano-photocatalyst activity : Feasibility of kernel based learning machinesSTRAUSS, Daniel J; SCHÄFER, Gerd; AKARSU, Murat et al.IEEE conference on nanotechnology. 2004, pp 443-445, isbn 0-7803-8536-5, 1Vol, 3 p.Conference 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

Assessing the Freshness of Meat by Using Quantum-Behaved Particle Swarm Optimization and Support Vector MachineXIAO GUAN; JING LIU; QINGRONG HUANG et al.Journal of food protection. 2013, Vol 76, Num 11, pp 1916-1922, issn 0362-028X, 7 p.Article

Support vector machines regression and modeling of greenhouse environmentDINGCHENG WANG; MAOHUA WANG; XIAOJUN QIAO et al.Computers and electronics in agriculture. 2009, Vol 66, Num 1, pp 46-52, issn 0168-1699, 7 p.Article

Application des noyaux multiples de type Kernel Basis à la méthode Relevance Vector Machine pour la sélection de modèles = Application of multiple kernels like Kernel Basis to the Relevance Vector Machine method for model selectionSUARD, Frédéric; MERCIER, David.Colloque sur le traitement du signal et des images. 2009, 1Vol, p. 137Conference Paper

Research on Classification of Hyperspectral Remote Sensing Image Based on Improved NPA in SVMSHEN, Zhaoqing; SHU, Ning; TAO, Jianbin et al.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, 72850C.1-72850C.9, 3Conference Paper

Increasing the discrimination power of the co-occurrence matrix-based featuresGELZINIS, A; VERIKAS, A; BACAUSKIENE, M et al.Pattern recognition. 2007, Vol 40, Num 9, pp 2367-2372, issn 0031-3203, 6 p.Article

Texture classification using optimized support vector machinesPENG XU; MIN DAI; CHAN, Andrew K et al.International Geoscience and Remote Sensing Symposium. 2004, isbn 0-7803-8742-2, Vol1, 544-547Conference 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

  • Page / 82