ABSTRACT. Inspired by the results obtained in the string case, we present in this paper the ex- tension of the correction queries to regular tree languages.
Mar 1, 2007 · Relying on Angluin's and Sakakibara's work, we introduce the algorithm LRTLC and we show that regular tree languages are learnable from ...
The algorithm LRTLC is introduced and it is shown that regular tree languages are learnable from equivalence and correction queries when the set of contexts ...
In active learning, membership queries and equivalence que- ries have established themselves as the standard combination to be used.
Learning Regular Tree Languages from Correction and Equivalence Queries. Cătălin Ionuţ Tîrnăucă, Cristina Tîrnăucă. Pages 501–524. Download Abstract · Fulltext ...
We present an e-cient algorithm for learning DFA, based on Angluin's algorithm to identify DFA from membership and equivalence queries. We improve Angluin's ...
In active learning, membership queries and equivalence que- ries have established themselves as the standard combination to be used.
We investigate regular tree languages exact learning from positive examples and membership queries. Input data are trees of the language to infer.
The algorithm, called L *, allows the learner to ask questions about a language from an oracle (also called MAT - minimally adequate teacher) and halts in ...
Our algorithm based on Angluin's L∗ learning algorithm for regular languages uses an observation table with correcting strings instead of 0s and 1s. In our ...
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