David R. Musicant

Journal of machine learning research · 2001–2011

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David R. Musicant trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Vladimir Naumovich Vapni
  2. Robert A. Lordo
  3. Yuh-Jye Lee
  4. Olvi L. Mangasarian
  5. Paul S. Bradley

Who trusts David R. Musicant overall

  1. Thorsten Joachims
  2. glenn. fung
  3. Olvi L. Mangasarian
  4. Stanislaw Osowski
  5. Yuh-Jye Lee
  6. Mayank Arya Chandra
  7. R. Sałat
  8. Matthew Goble Smith
  9. Ivor Wai-Hung Tsang
  10. Sarabjeet Singh Bedi

Papers from David R. Musicant's perspective

Ordered by how strongly the researchers David R. Musicant trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. SSVM: A Smooth Support Vector Machine for Classification (Computational optimization and applications)
  3. Learning from Data: Concepts, Theory, and Methods (Technometrics)
  4. Feature Selection via Concave Minimization and Support Vector Machines
  5. Introduction to Support Vector Machines
  6. RSVM: Reduced Support Vector Machines (SDM)
  7. UCI Repository of machine learning databases
  8. He says, she says: conflict and coordination in Wikipedia
  9. Creating, destroying, and restoring value in wikipedia
  10. Unlocking the clubhouse: women in computing (Technical Symposium on Computer Science Education)

Their papers