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A Least Mean-Squared Error Approach to Syntactic Classification

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1 Author(s)
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.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-2 ,  Issue: 3 )