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Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method
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Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method

Ruikai Yang
Fan He
Mingzhen He
Kaijie Wang
Xiaolin Huang
ArXiv (abs)PDFHTML

Papers citing "Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method"

5 / 5 papers shown
Title
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data
Young Woong Park
Jinhak Kim
Dan Zhu
30
2
0
07 Nov 2023
Greedy structure learning from data that contain systematic missing values
Greedy structure learning from data that contain systematic missing values
Yang Liu
Anthony C. Constantinou
108
10
0
09 Jul 2021
What's a good imputation to predict with missing values?
What's a good imputation to predict with missing values?
Marine Le Morvan
Julie Josse
Erwan Scornet
Gaël Varoquaux
AI4TS
72
66
0
01 Jun 2021
On the consistency of supervised learning with missing values
On the consistency of supervised learning with missing values
Julie Josse
Jacob M. Chen
Nicolas Prost
Erwan Scornet
Gaël Varoquaux
64
116
0
19 Feb 2019
Classification with Low Rank and Missing Data
Classification with Low Rank and Missing Data
Elad Hazan
Roi Livni
Yishay Mansour
61
38
0
14 Jan 2015

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