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Comments on 'Design of Supervised Classifiers Using Boolean Neural Neworks'
September 1999 (vol. 21 no. 9)
pp. 956

Abstract—Gazula and Kabuka [1] describe a binary neural network which implements a nonparametric statistical classifier. However, they implement a kernel-based classifier rather than k-nearest-neighbors, as stated in their paper. Some other aspects of their paper are not clear.

[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] D.J. Hand, “Distribution-Free Methods,” Discrimination and Classification, chapter 2, pp. 16-44. Wiley, 1981.
[3] P.H. Stanford and D.J. Smith, “The Multidimensional Scatter Code: A Data Fusion Technique with Exponential Capacity,” Proc. Int'l Conf. Artificial Neural Networks, pp. 1,432-1,435, Sorrento, Italy, May 1994.

Citation:
Guy Smith, "Comments on 'Design of Supervised Classifiers Using Boolean Neural Neworks'," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 9, pp. 956, Sept. 1999, doi:10.1109/34.790438
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