On the learning of vague languages for syntactic pattern recognition

The method of the learning of vague languages which represent distorted/ambiguous patterns is proposed in the paper. The goal of the method is to infer the quasi-context-sensitive string grammar which is used in our model as the generator of patterns. The method is an important component of the multi-derivational model of the parsing of vague languages used for syntactic pattern recognition

On the construction of the syntactic pattern recognition-based expert system for auditory brainstem response analysis

Recent developments of the construction of the syntactic pattern recognition-based expert System for Auditory Brainstem Response Analysis (SABRA) are described. The paper includes a brief characterization of problems related to the the use of computer science in ABR analysis, an outline of the concept of the SABRA system and a short description of GDPLL(k) and ACLL(k) grammars as the solution for fundamental problems that arose during the design of the system