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Pattern classification with missing data: a review

✍ Scribed by Pedro J. García-Laencina; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal


Book ID
106175555
Publisher
Springer-Verlag
Year
2009
Tongue
English
Weight
713 KB
Volume
19
Category
Article
ISSN
0941-0643

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Fitting models to incomplete categorical data requires more care than "tting models to the complete data counterparts, not only in the setting of missing data that are non-randomly missing, but even in the familiar missing at random setting. Various aspects of this point of view have been considered