TY - GEN
T1 - PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data
AU - Shibata, Chihiro
AU - Yoshinaka, Ryo
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - In recent years different interesting subclasses of cfls have been found to be learnable by techniques generically called distributional learning. The theoretical study on the exact learning of cfls by those techniques under different learning scheme is now quite mature. On the other hand, positive results on the pac learnability of cfls are rather limited and quite weak. This paper shows that several subclasses of context-free languages that are known to be exactly learnable with membership queries by distributional learning techniques are pac learnable from positive data under some assumptions on the string distribution.
AB - In recent years different interesting subclasses of cfls have been found to be learnable by techniques generically called distributional learning. The theoretical study on the exact learning of cfls by those techniques under different learning scheme is now quite mature. On the other hand, positive results on the pac learnability of cfls are rather limited and quite weak. This paper shows that several subclasses of context-free languages that are known to be exactly learnable with membership queries by distributional learning techniques are pac learnable from positive data under some assumptions on the string distribution.
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U2 - 10.1007/978-3-642-40935-6_11
DO - 10.1007/978-3-642-40935-6_11
M3 - Conference contribution
AN - SCOPUS:84887469709
SN - 9783642409349
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 143
EP - 157
BT - Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings
T2 - 24th International Conference on Algorithmic Learning Theory, ALT 2013
Y2 - 6 October 2013 through 9 October 2013
ER -