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Characterizing PAC-learnability of Semilinear Sets (1998)  (Make Corrections)  (1 citation)
Naoki Abe
Information and Computation



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Abstract: The learnability of the class of letter-counts of regular languages (semilinear sets) and other related classes of subsets of N d with respect to the distribution-free learning model of Valiant (PAC-learning model) is characterized. Using the notion of reducibility among learning problems due to Pitt and Warmuth called "prediction preserving reducibility," and a special case thereof, a number of positive and partially negative results are obtained. On the positive side the class of semilinear ... (Update)

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BibTeX entry:   (Update)

N. Abe (1995), Characterizing PAC-learnability of semilinear sets. Inform. and Comput. 116, no. 1, 81--102. http://citeseer.ist.psu.edu/abe98characterizing.html   More

@article{ abe95characterizing,
    author = "Naoki Abe",
    title = "Characterizing {PAC}-Learnability of Semilinear Sets",
    journal = "Information and Computation",
    volume = "116",
    number = "1",
    pages = "81-102",
    year = "1995",
    url = "citeseer.ist.psu.edu/abe98characterizing.html" }
Citations (may not include all citations):
4212   Computers and Intractability -- A Guide to the Theory of NP-.. (context) - Garey, Johnson - 1979
537   A theory of the learnable (context) - Valiant - 1984
465   Learnability and the Vapnik-Chervonenkis dimension (context) - Blumer, Ehrenfeucht et al. - 1989
412   Language identification in the limit (context) - Gold - 1967
244   Learning regular sets from queries and counter-examples (context) - Angluin - 1987
151   A general lower bound on the number of examples needed for l.. (context) - Ehrenfeucht, Haussler et al. - 1989
144   Computational limitations on learning from examples (context) - Pitt, Valiant - 1988
139   A greedy heuristic for the set-covering problem (context) - Chvatal - 1979
127   Complexity of automaton identification from given data (context) - Gold - 1978
114   The Theory of Partitions (context) - Andrews - 1976
84   Learning disjunctions of conjunctions (context) - Valiant - 1985
81   Equivalence of models for polynomial learnability (context) - Haussler, Kearns et al. - 1991
81   the complexity of minimum inference of regular sets (context) - Angluin - 1978
59   Prediction preserving reducibility (context) - Pitt, Warmuth - 1990
57   Systems That Learn (context) - Osherson, Stob et al. - 1986
54   Learning conjunctive concepts in structural domains (context) - Haussler - 1989
49   Functions on randomly drawn points (context) - Haussler, Littlestone et al. - 1988
45   The minimum consistent DFA problem cannot be approximated wi.. (context) - Pitt, Warmuth - 1989
29   Learning nested differences of intersection closed concept c.. (context) - Helmbold, Sloan et al. - 1990
27   Learning integer lattices (context) - Helmbold, Sloan et al. - 1992
9   bounded context-free grammars (context) - Angluin - 1987
8   Information and Control (context) - Osherson, Weinstein - 1982
7   personal communication (context) - Pitt
4   Language generating devices (context) - Parikh - 1961
4   personal communication (context) - Warmuth
3   Representation of integers by linear forms in nonnegative in.. (context) - Nijenhuis, Wilf - 1972
2   Polynomial learnability of formal languages (context) - Abe - 1989
2   Learning commutative deterministic finite state automata in .. (context) - Abe - 1991
1   Money changing problem is NP-Complete (context) - Abe - 1987

Documents on the same site (http://www.es.dis.titech.ac.jp/~abe/publications.html):
Polynomially Sparse Variations and Reducibility among.. - Abe, Watanabe (1992)   (Correct)
On the Computational Complexity of Approximating Distributions .. - Abe, Warmuth (1998)   (Correct)

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