An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1155/2017/1421409

https://doi.org/10.1155/2017/1421409

Probing for Sparse and Fast Variable Selection with Model-Based Boosting

Cited by: 23
Author(s): Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
Published: over 8 years ago

Software Mentions 4

cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: hdi
High-Dimensional Inference
Papers that mentioned: 5
Very Likely Science (75)
cran: mboost
Model-Based Boosting
Papers that mentioned: 32
Very Likely Science (77)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)