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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Replication Data for "The Hessian Screening Rule"

Authors: Johan Larsson; Jonas Wallin;

Replication Data for "The Hessian Screening Rule"

Abstract

{"references": ["R. K. Pace and R. Barry, \"Sparse spatial autoregressions,\" Statistics & Probability Letters, vol. 33, no. 3, pp. 291\u2013297, May 1997, doi: 10.1016/S0167-7152(96)00140-X.", "S. Kogan, D. Levin, B. R. Routledge, J. S. Sagi, and N. A. Smith, \"Predicting risk from financial reports with regression,\" in Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Boulder, Colorado, Jun. 2009, pp. 272\u2013280, Accessed: Apr. 14, 2021. [Online]. Available: https://www.aclweb.org/anthology/N09-1031.", "T. Bertin-Mahieux, D. P. W. Ellis, B. Whitman, and P. Lamere, \"The million song dataset,\" presented at the ISMIR 2011, Miami, FL, USA, Oct. 2011, doi: 10.7916/D8NZ8J07.", "I. Guyon, S. Gunn, A. Ben-Hur, and G. Dror, \"Result analysis of the NIPS 2003 feature selection challenge,\" in Advances in neural information processing systems 17, Vancouver, BC, Canada, Dec. 2004, pp. 545\u2013552, Accessed: Mar. 02, 2020. [Online]. Available: https://papers.nips.cc/paper/2728-result-analysis-of-the-nips-2003-feature-selection-challenge.", "U. Alon et al., \"Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays,\" PNAS, vol. 96, no. 12, pp. 6745\u20136750, Jun. 1999, doi: 10.1073/pnas.96.12.6745.", "M. West et al., \"Predicting the clinical status of human breast cancer by using gene expression profiles,\" Proc Natl Acad Sci U S A, vol. 98, no. 20, pp. 11462\u201311467, Sep. 2001, doi: 10.1073/pnas.201162998.", "D. Prokhorov, \"IJCNN 2001 neural network competition,\" presented at the IJCNN01, Washington, DC, USA, Jul. 15, 2001.", "S. S. Keerthi and D. DeCoste, \"A modified finite Newton method for fast solution of large scale linear SVMs,\" J. Mach. Learn. Res., vol. 6, no. 12, pp. 341\u2013361, Dec. 2005.", "D. D. Lewis, Y. Yang, T. G. Rose, and F. Li, \"RCV1: a new benchmark collection for text categorization research,\" J. Mach. Learn. Res., vol. 5, pp. 361\u2013397, Dec. 2004.", "StatLib, \"Datasets Archive,\" StatLib, Jul. 19, 2005. http://lib.stat.cmu.edu/datasets/ (accessed Apr. 14, 2021).", "D. Dua and C. Graff, \"UCI machine learning repository,\" UCI machine learning repository, 2019. http://archive.ics.uci.edu/ml (accessed Apr. 14, 2021).", "C.-C. Chang and C.-J. Lin, \"LIBSVM data: classification, regression, and multi-label,\" LIBSVM - A library for Support Vector Machines, Dec. 22, 2016. https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/ (accessed Mar. 12, 2018)."]}

Replication data for experiments in the paper The Hessian Screening Rule

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Keywords

experiments,real-data,replication data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
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3
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