FWDselect : Variable selection algorithm in regression models
By Nora M. Villanueva, S. D. Rocca, Luca Paolini. 2013
Subfields: Optimization & Training
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Optimization & Training
- Andriy Mulyar
- Preslav Nakov
- Seunghak Yu
- Zach Nussbaum
- Brandon Duderstadt
- Shankar Krishnan
- Giovanni Da San Martino
- Ying Xiao
Citations in the corpus
- An Investigation into Neural Net Optimization via Hessian Eigenvalue Density (2019, methodology): “We use the model in the official Tensor-Flow Models repository [8].”
- Risk indicators affecting honeybee colony survival in Europe: one year of surveillance (2016, unknown): “This was achieved by means of the qselection and test functions from the FWDselect R package (Sestelo et al. 2013).”
- A Survey on Computational Propaganda Detection (2020, background): “The rationale behind such approaches is based on evidence suggesting that human-driven and legitimate behaviors are intrinsically more heterogeneous than automated and inauthentic ones [Cresci et al., 2020].”