Theses most similar to those of author Rennie, Jason D. M. (Jason Daniel Malyutin), 1976-

Extracting information from informal communication (2007) read it

  • Advisor: David R. Karger
  • Department of Electrical Engineering and Computer Science
  • Advisor: Boris Katz
  • Department of Electrical Engineering and Computer Science
  • Advisor: David L. Brock
  • Department of Electrical Engineering and Computer Science
  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
  • Advisor: Jaakkola, Tommi S. (Tommi Sakari)
  • Department of Electrical Engineering and Computer Science
  • Advisors: Dr. James R. Glass; Timothy J. Hazen
  • Department of Electrical Engineering and Computer Science
  • Advisor: Leslie P. Kaelbling
  • Department of Electrical Engineering and Computer Science
  • Advisor: Boris Katz
  • Department of Electrical Engineering and Computer Science
  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science

Improving multi-class text classification with Naive Bayes (2001) read it

  • Advisor: David R. Karger
  • Department of Electrical Engineering and Computer Science
  • Advisor: Victor W. Zue
  • Department of Electrical Engineering and Computer Science
  • Advisor: John H. Lienhard, V, Roy E. Welsch
  • Operations Research Center
  • Advisor: Leslie Pack Kaelbling
  • Department of Electrical Engineering and Computer Science
  • Advisor: Jaakkola, Tommi S. (Tommi Sakari)
  • Department of Electrical Engineering and Computer Science
  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
  • Advisor: Joshua B. Tenenbaum
  • Department of Electrical Engineering and Computer Science
  • Advisors: Michael Collins; Yoram Singe
  • Department of Electrical Engineering and Computer Science
  • Advisor: David R. Karger
  • Department of Electrical Engineering and Computer Science
  • Advisors: Andrew W. Lo; John Guttag
  • Department of Electrical Engineering and Computer Science