Vote for your favorite mineral in #MinCup25! - Calcite vs. Perovskite
This match of heavy hitters is bound to end in heartbreak as classic calcite faces off against futuristic perovskite.
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

Xia, Jing, Zhang, Shengyu, Cai, Guolong, Li, Li, Pan, Qing, Yan, Jing, Ning, Gangmin (2017) Adjusted weight voting algorithm for random forests in handling missing values. Pattern Recognition, 69. 52-60 doi:10.1016/j.patcog.2017.04.005

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAdjusted weight voting algorithm for random forests in handling missing values
JournalPattern Recognition
AuthorsXia, JingAuthor
Zhang, ShengyuAuthor
Cai, GuolongAuthor
Li, LiAuthor
Pan, QingAuthor
Yan, JingAuthor
Ning, GangminAuthor
Year2017 (September)Volume69
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.04.005Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367009Long-form Identifiermindat:1:5:9367009:0
GUID0
Full ReferenceXia, Jing, Zhang, Shengyu, Cai, Guolong, Li, Li, Pan, Qing, Yan, Jing, Ning, Gangmin (2017) Adjusted weight voting algorithm for random forests in handling missing values. Pattern Recognition, 69. 52-60 doi:10.1016/j.patcog.2017.04.005
Plain TextXia, Jing, Zhang, Shengyu, Cai, Guolong, Li, Li, Pan, Qing, Yan, Jing, Ning, Gangmin (2017) Adjusted weight voting algorithm for random forests in handling missing values. Pattern Recognition, 69. 52-60 doi:10.1016/j.patcog.2017.04.005
In(2017) Pattern Recognition Vol. 69. Elsevier BV

See Also

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

Liu, Zhun-ga, Pan, Quan, Dezert, Jean, Martin, Arnaud (2016) Adaptive imputation of missing values for incomplete pattern classification. Pattern Recognition, 52. 85-95 doi:10.1016/j.patcog.2015.10.001
Wang, Jing, Shen, Jie, Li, Ping (2017) Object proposal with kernelized partial ranking. Pattern Recognition, 69. 299-309 doi:10.1016/j.patcog.2017.03.022
Wu, Xia, Li, Qing, Xu, Lele, Chen, Kewei, Yao, Li (2017) Multi-feature kernel discriminant dictionary learning for face recognition. Pattern Recognition, 66. 404-411 doi:10.1016/j.patcog.2016.12.001
Gao, Tao, Xia, Shilin, Liu, Mengkun, Zhang, Jing, Chen, Ting, Li, Ziqi (2025) MSNet: Multi-Scale Network for Object Detection in Remote Sensing Images. Pattern Recognition, 158. doi:10.1016/j.patcog.2024.110983
Zhang, Jing, Li, Wanqing, Ogunbona, Philip O., Wang, Pichao, Tang, Chang (2016) RGB-D-based action recognition datasets: A survey. Pattern Recognition, 60. 86-105 doi:10.1016/j.patcog.2016.05.019
Cai, Qing, Liu, Huiying, Zhou, Sanping, Sun, Jingfeng, Li, Jing (2018) An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation. Pattern Recognition, 82. 79-93 doi:10.1016/j.patcog.2018.05.008
Si, Xu; Zhang, Chi; Li, Siwei; Liang, Jing (2026) Source-free domain adaptation for unsupervised radar-based human activity recognition. Pattern Recognition, 169. doi:10.1016/j.patcog.2025.111866
Li, Jing, Li, Xuelong, Tao, Dacheng (2008) KPCA for semantic object extraction in images. Pattern Recognition, 41 (10). 3244-3250 doi:10.1016/j.patcog.2008.03.018
Cui, Shicheng, Li, Deqiang, Zhang, Jing (2025) Dynamic multi-scale feature augmentation for inductive network representation learning. Pattern Recognition, 161. doi:10.1016/j.patcog.2024.111250
Li, Huiru, Jiang, Liangxiao, Li, Chaoqun (2024) Certainty weighted voting-based noise correction for crowdsourcing. Pattern Recognition, 150. 110325 doi:10.1016/j.patcog.2024.110325
Jing, Xiao-Yuan, Tang, Yuan-Yan, Zhang, David (2005) A Fourier–LDA approach for image recognition. Pattern Recognition, 38 (3). 453-457 doi:10.1016/j.patcog.2003.09.020
 
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 4, 2025 11:50:02
Go to top of page