FEATURE SELECTION METHODS AND ALGORITHMS

By S. Ramakrishna. 2011

349 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/617abe7f0cba942d33795edce3d884a20b646f43

How researchers see this paper

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

1. Yuhui Du
2. Zening Fu
3. Vince D. Calhoun
4. Olga Kolchyna
5. Philip C. Treleaven
6. Thársis Tuani Pinto Souza
7. Tomaso Aste
8. Elena A. Allen

Citations in the corpus

• Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging (2018, background): “Recursive feature elimination (RFE) is the most popular used wrappermethodwhich selects features by recursively considering smaller and smaller combinations of features (Castro et al., 2011, 2014; Ladha and Deepa, 2011; Colby et al., 2012; Dai D. et al., 2012; Du et al., 2015b).”
• Twitter Sentiment Analysis (2015, methodology): “To this purpose we used Information Gain evaluation algorithm and a Ranker search method (Ladha and Deepa, 2011b).”