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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.
Date of Publication: July 1970