title: A least mean-squared error approach to syntactic classification.
abstract: 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.
authors.affiliation: Department of Mathematics, Arizona State University, Tempe, AZ 85281.
authors.forename: A J
authors.initials: AJ
authors.lastname: Filipski