The origins of logistic regression

By J. Cramer. 2002

487 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5133c16563f1573b197f9db44b5fbcfb4826f9f6

How researchers see this paper

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

In Genetics

1. Jianye Han
2. Wan Zhu
3. Xiangqian Guo
4. Longxiang Xie

In Molecular Biology

1. Chia-Hua Ho
2. Chih-Jen Lin
3. Jianye Han
4. Wan Zhu
5. Guo-Xun Yuan
6. Xiangqian Guo
7. Longxiang Xie

Citations in the corpus

• Recent Advances of Large-Scale Linear Classification (2012, background): “Interested readers may check the investigation in [3].”
• The Application of Deep Learning in Cancer Prognosis Prediction (2020, methodology): “Some popular supervised learning algorithms include linear and logistic regression [28], SVM [29], naive bayes [30], gradient boosting [31,32], classification trees, and random forest [33,34].”