Untangling Neural Nets

By S. Marchi, Christopher Gelpi, Jeffrey D. Grynaviski. 2004

46 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Sociology and Political Science

How researchers see this paper

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

In Sociology and Political Science

1. Rafael Valle
2. Jason Poulos

Citations in the corpus

• Missing Data Imputation for Supervised Learning (2016, background): “…become an increasingly attractive methodology and proven to be effective in social science applications, such as studies of international and civil conflict (Beck, King, and Zeng 2000; Hill and Jones 2014; Muchlinski et al. 2016) and election fraud (Cant and Saiegh 2011; Montgomery et al. 2015).”