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Unsupervised MRI Tissue Classification by Support Vector Machines

Referentgranskad
Karp, E.; Vigário, R.
-2004Publicationer information ikon

Support vector machines for detection of analyzer faults- a case study

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Öppen tillgång
Nikus, Mats; Vermasvuori, Mikko; Vatanski, Nikolai; Jämsä-Jounela, Sirkka-Liisa
Suomen Automaatioseura2006Publicationer information ikon

Bird Species Recognition Using Support Vector Machines

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DOI
10.1155/2007/38637
Fagerlund, Seppo
Eurasip Journal on Advances in Signal Processing2007Publicationer information ikon

Fuzzy least squares twin support vector machines

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DOI
10.1016/j.engappai.2019.06.018
Sartakhti, Javad Salimi; Afrabandpey, Homayun; Ghadiri, Nasser
Engineering Applications of Artificial Intelligence2019Publicationer information ikon

Distributed support vector machines over dynamic balanced directed networks

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DOI
10.1109/LCSYS.2021.3086388
Doostmohammadian, Mohammadreza; Aghasi, Alireza; Charalambous, Themistoklis; Khan, Usman A.
IEEE Control Systems Letters2021Publicationer information ikon

Cryptographically private support vector machines

Referentgranskad
Laur, Sven; Lipmaa, Helger; Mielikäinen, Taneli
ACM2006Publicationer information ikon

Coupling pairwise support vector machines for fault classification

Referentgranskad
Pöyhönen, S.; Arkkio, A.; Jover, P.; Hyötyniemi, H.
Control Engineering Practice2005Publicationer information ikon

Coupling pairwise support vector machines for fault classification

Referentgranskad
Pöyhönen, Sanna; Arkkio, Antero; Hyötyniemi, Heikki
International Federation of Automatic Control (IFAC)2003Publicationer information ikon

Robust Compressive Sensing

Referentgranskad
Ollila, Esa; Kim, Hyon-Jung; Koivunen, Visa
Chapman and Hall2014Publicationer information ikon

Convex support vector regression

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DOI
10.1016/j.ejor.2023.05.009
Liao, Zhiqiang; Dai, Sheng; Kuosmanen, Timo
European journal of operational research2023

Unsupervised MRI Tissue Classification by Support Vector Machines

Referentgranskad
2004

Support vector machines for detection of analyzer faults- a case study

Referentgranskad
Öppen tillgång
2006

Bird Species Recognition Using Support Vector Machines

Referentgranskad
Öppen tillgång
DOI
10.1155/2007/38637
2007

Fuzzy least squares twin support vector machines

Referentgranskad
Öppen tillgång
DOI
10.1016/j.engappai.2019.06.018
2019

Distributed support vector machines over dynamic balanced directed networks

Referentgranskad
Öppen tillgång
DOI
10.1109/LCSYS.2021.3086388
2021

Cryptographically private support vector machines

Referentgranskad
2006

Coupling pairwise support vector machines for fault classification

Referentgranskad
2005

Coupling pairwise support vector machines for fault classification

Referentgranskad
2003

Robust Compressive Sensing

Referentgranskad
2014

Convex support vector regression

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ejor.2023.05.009
2023