Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening
Author:
Affiliation:
1. Department of Computer Science, Nagoya Institute of Technology, Nagoya, Aichi, Japan
2. Center for Advanced Intelligence Project, RIKEN, Chuo, Tokyo, Japan
Funder
MEXT KAKENHI
JST CREST
JST/AIP Accelerated PRISM Research
RIKEN Center for Advanced Intelligence Project
JST support program for starting up innovation-hub on materials research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10008914/09762967.pdf?arnumber=9762967
Reference36 articles.
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3. UCI machine learning repository;dheeru,2017
4. Lasso screening rules via dual polytope projection;wang;Proc Int Conf Neural Inf Process,2013
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