Vote for your favorite mineral in #MinCup25! - Pectolite vs. Haüyne
It's a pair of striking blue beauties as #pectolite the uncrushable faces off against #hauyne, the phoenix from volcanic ashes!
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

Jiang, Gaoxia, Wang, Wenjian (2017) Error estimation based on variance analysis of k -fold cross-validation. Pattern Recognition, 69. 94-106 doi:10.1016/j.patcog.2017.03.025

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleError estimation based on variance analysis of k -fold cross-validation
JournalPattern Recognition
AuthorsJiang, GaoxiaAuthor
Wang, WenjianAuthor
Year2017 (September)Volume69
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.03.025Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9366999Long-form Identifiermindat:1:5:9366999:7
GUID0
Full ReferenceJiang, Gaoxia, Wang, Wenjian (2017) Error estimation based on variance analysis of k -fold cross-validation. Pattern Recognition, 69. 94-106 doi:10.1016/j.patcog.2017.03.025
Plain TextJiang, Gaoxia, Wang, Wenjian (2017) Error estimation based on variance analysis of k -fold cross-validation. Pattern Recognition, 69. 94-106 doi:10.1016/j.patcog.2017.03.025
In(2017) Pattern Recognition Vol. 69. Elsevier BV

See Also

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

Jiang, Gaoxia; Lei, Fan; Wang, Wenjian (2026) A multi-model dynamic filtering of label noise for regression. Pattern Recognition, 169. doi:10.1016/j.patcog.2025.111887
Jiang, Gaoxia, Wang, Wenjian (2017) Markov cross-validation for time series model evaluations. Information Sciences, 375. 219-233 doi:10.1016/j.ins.2016.09.061
Chen, Qingqiang, Jiang, Gaoxia, Cao, Fuyuan, Men, Changqian, Wang, Wenjian (2024) A general elevating framework for label noise filters. Pattern Recognition, 147. 110072 doi:10.1016/j.patcog.2023.110072
Wong, Tzu-Tsung (2017) Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets. Pattern Recognition, 65. 97-107 doi:10.1016/j.patcog.2016.12.018
Wong, Tzu-Tsung (2015) Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation. Pattern Recognition, 48 (9). 2839-2846 doi:10.1016/j.patcog.2015.03.009
Wang, Zepeng, Chen, Derong, Gong, Jiulu (2022) Pose error analysis method based on a single circular feature. Pattern Recognition, 129. 108726 doi:10.1016/j.patcog.2022.108726
Guo, Husheng, Wu, Zhijie, Ren, Qiaoyan, Wang, Wenjian (2025) Accelerating the convergence of concept drift based on knowledge transfer. Pattern Recognition, 159. doi:10.1016/j.patcog.2024.111145
Lau, K.W., Wu, Q.H. (2004) Leave one support vector out cross validation for fast estimation of generalization errors. Pattern Recognition, 37 (9). 1835-1840 doi:10.1016/j.patcog.2004.02.007
Wang, Zhe, Zhu, Changming, Gao, Daqi, Chen, Songcan (2013) Three-fold structured classifier design based on matrix pattern. Pattern Recognition, 46 (6). 1532-1555 doi:10.1016/j.patcog.2012.12.003
Kim, Yeonho, Kim, Daijin (2020) A CNN-based 3D human pose estimation based on projection of depth and ridge data. Pattern Recognition, 106. 107462pp. doi:10.1016/j.patcog.2020.107462
Guo, Husheng, Wang, Wenjian (2015) An active learning-based SVM multi-class classification model. Pattern Recognition, 48 (5). 1577-1597 doi:10.1016/j.patcog.2014.12.009
 
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 © 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: September 17, 2025 18:50:25
Go to top of page