Abstract Articolo

Titolo: Syntactic Pattern Recognition from Observations: a Hybrid Technique

Citazione: Vincenzo Di Lecce, Marco Calabrese, Syntactic pattern recognition from observations: a hybrid technique, Published by Springer in Lecture Notes in Bioinformatics, sub-series Bio-Inspired Computing and Applications: 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou, China, August 11-14 2011,ISBN 978-3-642-24552-7.

Abstract: This paper presents a novel technique for automated learning from observations. The technique arranges in a row four traditional pattern recognition approaches (numeric, logic, statistical and finally syntactic) within a unifying framework. Each processing step is conceived as a transformation of the input dataset from one state to another. The proposed technique considers measurable observations as inputs and produces a set of formal rules, i.e. a grammar, as final output. To this end, a four-state grammar induction process is described and a complete example is reported.

Keyword: patter recognition, grammar induction, IF THEN rules

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