Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Shen, Xin, Niu, Lingfeng, Qi, Zhiquan, Tian, Yingjie (2017) Support vector machine classifier with truncated pinball loss. Pattern Recognition, 68. 199-210 doi:10.1016/j.patcog.2017.03.011

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSupport vector machine classifier with truncated pinball loss
JournalPattern Recognition
AuthorsShen, XinAuthor
Niu, LingfengAuthor
Qi, ZhiquanAuthor
Tian, YingjieAuthor
Year2017 (August)Volume68
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.03.011Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9366985Long-form Identifiermindat:1:5:9366985:4
GUID0
Full ReferenceShen, Xin, Niu, Lingfeng, Qi, Zhiquan, Tian, Yingjie (2017) Support vector machine classifier with truncated pinball loss. Pattern Recognition, 68. 199-210 doi:10.1016/j.patcog.2017.03.011
Plain TextShen, Xin, Niu, Lingfeng, Qi, Zhiquan, Tian, Yingjie (2017) Support vector machine classifier with truncated pinball loss. Pattern Recognition, 68. 199-210 doi:10.1016/j.patcog.2017.03.011
In(2017) Pattern Recognition Vol. 68. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Qi, Zhiquan, Tian, Yingjie, Shi, Yong (2013) Robust twin support vector machine for pattern classification. Pattern Recognition, 46 (1). 305-316 doi:10.1016/j.patcog.2012.06.019
Chen, Dandan, Tian, Yingjie, Liu, Xiaohui (2016) Structural nonparallel support vector machine for pattern recognition. Pattern Recognition, 60. 296-305 doi:10.1016/j.patcog.2016.04.017
Wang, Huajun, Shao, Yuanhai (2024) Fast generalized ramp loss support vector machine for pattern classification. Pattern Recognition, 146. 109987 doi:10.1016/j.patcog.2023.109987
Zhang, Xin, Zhang, Xiu (2017) WITHDRAWN: Adaptive multiclass support vector machine for multimodal data analysis. Pattern Recognition, 70. 177-184 doi:10.1016/j.patcog.2017.05.006
Ping, Yuan, Tian, Yingjie, Guo, Chun, Wang, Baocang, Yang, Yuehua (2017) FRSVC: Towards making support vector clustering consume less. Pattern Recognition, 69. 286-298 doi:10.1016/j.patcog.2017.04.025
Liu, Jiabin, Qi, Zhiquan, Wang, Bo, Tian, YingJie, Shi, Yong (2022) SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognition, 129. 108767 doi:10.1016/j.patcog.2022.108767
Xing, Hong-Jie, Ji, Man (2018) Robust one-class support vector machine with rescaled hinge loss function. Pattern Recognition, 84. 152-164 doi:10.1016/j.patcog.2018.07.015
Tian, Yingjie, Ju, Xuchan, Qi, Zhiquan, Shi, Yong (2013) Efficient sparse least squares support vector machines for pattern classification. Computers & Mathematics with Applications, 66. 1935-1947 doi:10.1016/j.camwa.2013.06.028
Wang, Huajun, Zhang, Hongwei, Li, Wenqian (2024) Sparse and robust support vector machine with capped squared loss for large-scale pattern classification. Pattern Recognition, 153. 110544 doi:10.1016/j.patcog.2024.110544
Hooshmand Moghaddam, Vahid, Hamidzadeh, Javad (2016) New Hermite orthogonal polynomial kernel and combined kernels in Support Vector Machine classifier. Pattern Recognition, 60. 921-935 doi:10.1016/j.patcog.2016.07.004
Qi, Zhiquan, Tian, Yingjie, Shi, Yong (2014) A nonparallel support vector machine for a classification problem with universum learning. Journal of Computational and Applied Mathematics, 263. 288-298 doi:10.1016/j.cam.2013.11.003
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 18, 2025 08:48:43
Go to top of page