Statistical analysis with missing data
Statistical analysis with missing data
Handling missing data by using stored truth values
ACM SIGMOD Record
Minimal Projective Reconstruction Including Missing Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Guest Editors' Introduction: Information Enhancement for Data Mining
IEEE Intelligent Systems
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A Kernel-Based Nonparametric Multiple imputation method is proposed under MAR (Missing at Random) and MCAR (Missing Completely at Random) missing mechanisms in nonparametric regression settings. We experimentally evaluate our approach, and demonstrate that our imputation performs better than the well-known NORM algorithm.