@techreport{RISC4341,author = {Gabor Guta},
title = {{A Graph Annotation Based Algorithm for Transducer Modification Inference}},
language = {english},
abstract = {Grammatical Inference is a new branch of
(symbolic) learning algorithms. In this field most of the algorithms infer automata or transducers from a set of examples.
In this paper we propose an inference algorithm which infers the modification of an existing a transducer according to the examples of desired input/output pairs instead of inferring such a transducer from scratch.
The paper evaluates the effectiveness of the algorithm by analyzing the inferred solutions of examples.
The solutions of the algorithm are also compared to the results of a previously described inference algorithm. The comparison showed that the newly proposed algorithm behaved superior. },
number = {11-16},
year = {2011},
month = {05},
length = {38},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}