Zehra Cataltepe

Research Interests

• Classification of networked data, social network analysis.
• Feature selection.
• Music, web page, document classification and recommendation.
• Bioinformatics: protein function prediction.
• Incorporating test inputs or other input information into learning.
• Regularization methods, early stopping, cross validation.
• Learning from examples and hints, statistical learning theory.
• Machine learning applications (speech, video, image recognition).

Publications ( the updated list)

• (1998) Zehra Cataltepe,
  "Incorporating Input Information into Learning and Augmented Objective Functions",
  Ph.D. Thesis, California Institute of Techology.
  abstract, thesis available upon request.
  
  
• (1998) Zehra Cataltepe, Yaser S. Abu-Mostafa and Malik Magdon-Ismail,
  "No Free Lunch for Early Stopping",
  accepted to Neural Computation.
  
  
• (1997) Zehra Cataltepe and Malik Magdon-Ismail,
  "Incorporating Test Inputs into Learning",
  Proceedings of the Advances in Neural Information Processing Systems 10 .
  abstract, postscript (194K).
  
  
• (1994) Zehra Cataltepe and Yaser S. Abu-Mostafa,
  "Estimating Learning Performance Using Hints",
  Proceedings of the 1993 Connectionist Models Summer School, M. Mozer et. al. (Eds.), Lawrence Erlbaum Associates, Publishers, Hillsdale, NJ. pp.380-386.
  abstract, postscript (433K).
  
  
• (1994) Zehra Cataltepe,
  "The Scheduling Problem in Learning from Hints,
  M.S. Thesis, California Institute of Techology.
  abstract, postscript (675K).
  (also available as Caltech-CS-TR-94-09)
  
  
• (1997) Eric Bax, Zehra Cataltepe and Joseph Sill,
  "The Central Classifier Bound -- A New Error Bound for the Classifier Chosen by Early Stopping",
  IEEE PACRIM, Victoria, B.C. 1997 conference proceedings.
  postscript (322K).
  (also available as Caltech-CS-TR-97-08)
  
  
• (1991) Zehra Kok and Varol Akman,
  "Field: A Data Type for Automated Perception in Go",
  Proceedings of International Symposium on Computer and Information Sciences (ISCIS-VI), Turkey, Elsevier Science Publishers, pp 641-650.
  abstract, hard copy available upon request.
  
  
• (1997) Ridvan A. Sahan, Don C. Albin, Nihal K. Sahan and Zehra Cataltepe,
  "Modelling Of Transitional Air Flow System In A Channel Using Artificial Neural Networks",
  Sixth Turkish Symposium on Artificial Intelligence and Neural Networks ( TAINN 97 ).

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