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A Least Mean-Squared Error Approach to Syntactic Classification
March 1980 (vol. 2 no. 3)
pp. 252-255
Alan J. Filipski, Department of Mathematics, Arizona State University, Tempe, AZ 85281.
The usual approach to numerical training in syntactic pattern recognition involves estimation of the production probabilities of stochastic context-free grammars. Here we describe a different approach, namely that of finding an LMSE discriminant hyperplane between sets of class samples in a space of ``structural indices'' determined by a context-free grammar.
Citation:
Alan J. Filipski, "A Least Mean-Squared Error Approach to Syntactic Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 2, no. 3, pp. 252-255, March 1980, doi:10.1109/TPAMI.1980.4767012
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