Results 281 to 290 of about 1,095,657 (311)
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A Study of Incomplete Data – A Review

2014
Incomplete data are questions without answers or variables without observations. Even a small percentage of missing data can cause serious problems with the analysis leading to draw wrong conclusions and imperfect knowledge. There are many techniques to overcome the imperfect knowledge and manage data with incomplete items, but no one is absolutely ...
Sasanko Sekhar Gantayat   +2 more
openaire   +1 more source

Incomplete Data Decomposition for Classification

2002
In this paper we present a method of data decomposition to avoid the necessity of reasoning on data with missing attribute values. The original incomplete data is decomposed into data subsets without missing values. Next, methods for classifier induction are applied to such sets.
openaire   +1 more source

Incompleteness of Lamotrigine Data

Drug Safety, 2001
N V, Acharya, L V, Wilton, S A, Shakir
openaire   +2 more sources

Incomplete Data

2008
Garrett Fitzmaurice, Geert Molenberghs
  +4 more sources

Incomplete Data

2005
Molenberghs, G.   +5 more
  +5 more sources

Incomplete lineage sorting and phenotypic evolution in marsupials

Cell, 2022
Shaohong Feng, Ming Bai, Shiping Liu
exaly  

Incomplete autophagy: Trouble is a friend

Medicinal Research Reviews, 2022
Qiang Zhang, Shijie Cao, Feng Qiu
exaly  

Trust, Incomplete Contracting, and Corporate Innovation

Management Science, 2022
Fei Xie, Bohui Zhang, Wenrui Zhang
exaly  

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering

IEEE Transactions on Image Processing, 2022
Zhenglai Li, Chang Tang, Xiao Zheng
exaly  

Localized Sparse Incomplete Multi-View Clustering

IEEE Transactions on Multimedia, 2023
Chengliang Liu, Zhihao Wu, Jie Wen
exaly  

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