This Article 
 Bibliographic References 
 Add to: 
Reply to: Comments on 'Design of Supervised Classifiers Using Boolean Neural Networks'
September 1999 (vol. 21 no. 9)
pp. 957-958

Abstract—In his comments, Guy Smith discussed three points he believes are either not correct or unclear. These points are: 1) The uniqueness of thermometer coding in the algorithm is not supported in the paper. 2) The BKNN algorithm is not equivalent to the k-nearest neighbor algorithm. 3) The relationship between examplars and classes is not clear. Following is a reply to each of the above three points:

[1] S. Gazula and M. Kabuka, “Design of Supervised Classifiers Using Boolean Neural Networks,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 12, pp. 1,239-1,246, Dec. 1995.
[2] S. Bhide, “Image Segmentation with Boolean Neural Networks,” MSc thesis, Univ. of Miami, 1994.
[3] J.T. Tou and R.C. Gonzalez, Pattern Recognition Principles. Addison Wesley, 1974.
[4] R.J. Schalkoff, Pattern Recognition: Statistical, Structural and Neural Approaches.New York: John Wiley and Sons, 1992.
[5] C.W. Swonger, “Sample Set Condensation for a Condensed Nearest Neighbor Decision Rule for Pattern Recognition,” Frontiers of Pattern Recognition, S. Watanabe, ed., pp. 511-519. Academic Press, 1972.
[6] G.L. Ritter, H.B. Woodruff, and S.R. Lowry, “An Algorithm for a Selective Nearest Neighbor Decision Rule,” IEEE Trans. Information Theory, vol. 21, no. 6, pp. 665-669, 1975.
[7] D.L. Wilson, “Asymptotic Properties of Nearest Neighbor Rules Using Edited Data,” IEEE Trans. System, Man, and Cybernetics, vol. 2, no. 3, pp. 408-421, July 1972.
[8] C.-L. Chang, “Finding Prototypes for Nearest Neighbor Classifiers,” IEEE Trans. Computers, vol. 23, no. 11, pp. 1,179-1,184, Nov. 1974.
[9] D.W. Aha, D. Kibler, and M.K. Albert, “Instance-Based Learning Algorithms,” Machine Learning, vol. 6, pp. 37-66, 1991.

Mansur R. Kabuka, "Reply to: Comments on 'Design of Supervised Classifiers Using Boolean Neural Networks'," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 9, pp. 957-958, Sept. 1999, doi:10.1109/TPAMI.1999.790439
Usage of this product signifies your acceptance of the Terms of Use.