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Intuit (United States)

United States

21 papers here238 citations across 21
fields
  • cs.LG8
  • cs.AI3
  • astro-ph.IM2
  • cs.CL2
  • cs.CV2
  • cs.IT2
  • stat.ML2
ROR 049mrbr98OpenAlex

affiliations via OpenAlex

output
20122026
most citedGuided Random Forest in the RRF Package

61 citations

researchers with a paper here
  • Houtao Deng4 · h 11
  • G. Runger3 · h 53
  • A. Corso2 · h 6
  • A. Hero2 · h 75
  • C. Bradford2 · h 33
  • C. Groppi2 · h 4
  • D. Marrone2 · h 81
  • Frank Reidegeld2 profiles2 · h 5
  • Himanshu Gupta2 profiles2 · h 10
  • I. Lowe2 · h 4
  • Imad Ali Shah2 · h 4
  • I. Trumper2 · h 9
collaborating institutions
  • Arizona State UniversityUS7 papers
  • University of MichiganUS4 papers
  • California Institute of TechnologyUS3 papers
  • University of ArizonaUS3 papers
  • University of Illinois Urbana-ChampaignUS3 papers
  • Centre National de la Recherche ScientifiqueFR2 papers
  • IBM Research - HaifaIL2 papers
  • Institut de Recherche en Informatique et Systèmes AléatoiresFR2 papers
  • Jet Propulsion LaboratoryUS2 papers
  • OpticaUS2 papers
  • Rutgers, The State University of New JerseyUS2 papers
  • Université de RennesFR2 papers
Showing 2012Show all

2 papers · 1 filter

cs.LG2012★ 2 cited

Gene selection with guided regularized random forest

Houtao Deng, George Runger

The regularized random forest (RRF) was recently proposed for feature selection by building only one ensemble. In RRF the features are evaluated on a part of the training data at e…

cs.LG2012★ 53 cited

Feature Selection via Regularized Trees

Houtao Deng, George Runger

We propose a tree regularization framework, which enables many tree models to perform feature selection efficiently. The key idea of the regularization framework is to penalize sel…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.