Impact of imputation of missing values on classification error for discrete data

By Alireza Farhangfar, Lukasz Kurgan, Jennifer G. Dy. Pattern Recognition, 2008

375 citations recorded by the source corpus.

Subfields: Information Systems, Management Science and Operations Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/6ac7a3d23e846796cf43df20f758987c87a43833

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Hyrum S. Anderson
2. Maya R. Gupta

In Management Science and Operations Research

1. Hyrum S. Anderson
2. Maya R. Gupta

In Signal Processing

1. Hyrum S. Anderson
2. Maya R. Gupta

Citations in the corpus

• Expected kernel for missing features in support vector machines (2011, methodology): “Multiple imputation has been used to compute support vector machines (SVM) kernels to handle missing features [1].”