Published April 26, 2021 | Version 0.1.0
Dataset Open

Replication Data for "The Hessian Screening Rule"

Authors/Creators

  • 1. The Department of Statistics, Lund University

Description

Replication data for experiments in the paper The Hessian Screening Rule

Files

Files (708.1 MB)

Name Size Download all
md5:06c749628e1ad2862a7f8e76be26b25d
1.2 MB Download
md5:20e9fc320cfa67758fcc6d5f00c4836e
376.9 kB Download
md5:555ae58eb0eb4b229281272a638ceaf2
754.9 kB Download
md5:07acf61cb89a2c2778022b860fe1ef44
1.9 MB Download
md5:975eb1514c56ef32e863ac923f2ecc1b
234.8 MB Download
md5:0877008059b01c8080bd47d74b70e16b
181.2 MB Download
md5:289396e5f7947e7118c6f8d82f7ffce6
2.3 MB Download
md5:1ac4d093d46c790d6971af55ac84dca6
1.5 MB Download
md5:482363c575add62b26732985e4376bef
34.8 MB Download
md5:e41bd8e1313cd5198e6b73dc1fc0490d
14.6 MB Download
md5:9555794f5a2cebe6e5fc9d5c0360b363
234.7 MB Download

Additional details

Related works

Is derived from
Journal article: 10.1016/S0167-7152(96)00140-X (DOI)
Journal article: 10.7916/D8NZ8J07 (DOI)
Journal article: 10.1073/pnas.96.12.6745 (DOI)
Journal article: 10.1073/pnas.201162998 (DOI)

References

  • R. K. Pace and R. Barry, "Sparse spatial autoregressions," Statistics & Probability Letters, vol. 33, no. 3, pp. 291–297, 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. 272–280, 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. 545–552, 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. 6745–6750, 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. 11462–11467, 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. 341–361, 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. 361–397, 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).