Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs is a research paper published in SIAM Journal on Mathematics of Data Science (2020). On theSindex it has a DataRank of 0. It has been cited 12 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
NIGMS NIH HHS
Grant: R01 GM131381
National Science Foundation
Grant: 1740707
NIAID NIH HHS
Grant: U54 AI117924
National Science Foundation
Grant: 0353079
National Science Foundation
Grant: 1447449
National Science Foundation
Grant: 1839338
National Institutes of Health
Grant: 1U54 AI117924-01
National Institutes of Health
Grant: R01 GM131381-01
National Science Foundation
Grant: DMS 1407028
FWCI
0.00
Citation Percentile
0.0%
Fields of Study
Keywords
Sustainable Development Goals