REFERENCES

• Decision Trees

  
  

  • W. Buntine, "A Theory of Learning Classification Rules," Ph.D. Thesis, University of Technology, Sydney, Australia, November, 1992.

    
    

  • L. Breiman, J. Friedman, R. Olshen, and C. Stone, Classification and Regression Trees, Wadsworth International Group, Belmont, California, USA, 1984.

    
    

  • J. Quinlan, "Induction of Decision Trees," Machine Learning, vol. 1, pp. 81-106, 1986.

    
    

  • J. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann Publishers, San Mateo, California, USA, 1993.

    
    

  • S. Safavin and D. Landgrebe, "A Survey of Decision Tree Classifier Methodology," IEEE Transactions on Systems, Man and Cybernetics, vol.2, pp. 660-674, May/June 1991.

    
    

  • A. Martelli and U. Montanari, "Optimizing Decision Trees Through Heuristically Guided Search," Communications of the Association for Computing, vol. 21, pp. 1025-1039, December, 1978.

    
    

• Applications of Decision Trees

  
  

  • J. Ngan, A. Ganapathiraju, and J. Picone, "Improved Surname Pronunciations Using Decision Trees," Proceedings of the International Conference on Spoken Language Processing, pp. 3285-3288, Sydney, Australia, November 1998.

    
    

  • N. Kalidindi and J. Picone, "Scenic Beauty Estimation of Forestry Images," USFS Southern ExperimenProject Final Report, December 31, 1997.

    
    

  • N. Deshmukh, A. Le and J. Picone, "Advances in Automatic Generation of Multiple Pronunciations for Proper Nouns," Texas Instruments Incorporated, October 22, 1997.

    
    

• Information Theory Approach to Decision Trees

  
  

  • P. Chou, "Applications of Information Theory to Pattern Recognition and the Design of Decision Trees and Trellis," Ph.D. Thesis, Stanford University, 1988.

    
    

  • S. Ganapathy and V. Rajamaran, "Information Theory Applied to the Conversion of Decision Tables to Computer Programs," Communications of the Association for Computing, vol. 16, pp. 532-539, September, 1973.

    
    

  • T. Cover and J. Thomas, Elements of Information Theory, John Wiley & Sons Inc., New York, New York, USA, 1991.

    
    

• Statistical Methodologies

  
  

  • J. R. Geigy, Documenta Geigy Scientific Tables, 6th ed. edited by K. Diem, Geigy Pharmaceuticals Publication, Ardsley, New York, USA, 1962.