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July 1970 (vol. 19 no. 7)
pp. 649-651
S. Lakshmivarahan, Dept. of Elec. Engrg. Indian Institute of Science
A nonparametric training procedure capable of processing an arbitrary sequence of patterns based on stochastic approximation techniques is considered. An acceleration scheme based on the adaptive Robbins-Monro procedure to increase the rate of convergence and to make the estimation asymptotically efficient is proposed. This scheme has been applied to the problem of recognition of handwritten characters.
Index Terms:
Asymptotic efficiency, nonparametric training, pattern classification, stochastic approximation.
Citation:
S. Lakshmivarahan, M.A.L. Thathachar, "Pattern Classification Using Stochastic Approximation Techniques," IEEE Transactions on Computers, vol. 19, no. 7, pp. 649-651, July 1970, doi:10.1109/T-C.1970.222998
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