IBM Skip to main content
  Home     Products & services     Support & downloads     My account  
  Select a country  
Journals Home  
  Systems Journal  
  ·  Current Issue  
  ·  Recent Issues  
  ·  Papers in Progress  
  ·  Search/Index  
  ·  Orders  
  ·  Description  
  ·  Author's Guide  
Journal of Research
and Development
  Staff  
  Contact Us  
  Related links:  
     IBM Research: AI  
     IBM Research  
     UNSW CSE Dept.  
     UIUC CS Dept.  
IBM Systems Journal  
Volume 41, Number 3, 2002
Artificial Intelligence
 Table of contents: arrowHTML arrowPDF arrowASCII   This article: arrowHTML arrowPDF arrowASCII arrowCopyright info
   

Cross training and its application to skill mining - Author bios

by D. A. Oblinger, M. Reid, M. Brodie, and R. de Salvo Braz

Biographical sketches of authors

Daniel A. Oblinger   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (electronic mail: oblinger@us.ibm.com). Dr. Oblinger is a research staff member at the T. J. Watson Research Center and an adjunct professor at Columbia University. He received his B.S. degree in mathematics and computer science at Northern Kentucky University, his M.S. degree in computer science at Ohio State University, and his Ph.D. degree in computer science from the University of Illinois. He has pursued his interest in machine learning, the integration of structured knowledge and learning, bioinformatics, and text mining.

Mark Reid   University of South Wales, Sidney 2052, Australia (electronic mail: mreid@cse.unsw.edu.au). Mr. Reid is currently a Ph.D. candidate at the University of New South Wales in Sydney, Australia, where he completed his B.Sc. degree, with honors, in mathematics and computer science in 1996. His thesis is focused on the use of bias in inductive logic programming, although he also has a strong interest in reinforcement learning and computational learning theory. During the first half of 2001, he was a research intern at IBM's T. J. Watson Research Center, where he worked on a text mining application.

Mark Brodie   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (electronic mail: mbrodie@us.ibm.com). Dr. Brodie is a research staff member in the Machine Learning for Systems group at the T. J. Watson Research Center and an adjunct professor at Columbia University. He did his undergraduate work at the University of Witwatersrand in South Africa. After coming to the United States, he received his Ph.D. degree in computer science in 2000 from the University of Illinois at Urbana-Champaign, working with Gerald DeJong on explanation-based learning, and has been at IBM since then. His research interests include machine learning, data mining, and intrusion detection.

Rodrigo de Salvo Braz   University of Illinois, 1304 West Springfield, Urbana, Illinois 61801 (electronic mail: braz@students.uiuc.edu). Mr. Braz has earned B.Sc. and M.Sc. degrees in computer science from the University of São Paulo, Brazil. He is currently a computer science Ph.D. candidate at University of Illinois at Urbana-Champaign. His research focuses on probabilistic relational machine learning applied to language and vision domains.