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Learning Sparse Multivariate Polynomials over a Field with Queries and Counterexamples (1996)  (Make Corrections)  (20 citations)
Robert E. Schapire, Linda M. Sellie
Journal of Computer and System Sciences



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Abstract: We consider the problem of learning a polynomial over an arbitrary field F defined on a set of boolean variables. We present the first provably effective algorithm for exactly identifying such polynomials using membership and equivalence queries. Our algorithm runs in time polynomial in n, the number of variables, and t, the number of nonzero terms appearing in the polynomial. The algorithm makes at most nt + 2 equivalence queries, and at most (nt + 1)(t + 3t)=2 membership queries. Our... (Update)

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...gave in [Bs94] a technique for learning decision trees under any distribution via the Monotone Theory. Schapire and Sellie gave in [SS93] a Lattice based algorithm for learning multivariate polynomials over the binary field under any distribution. In the former the output...

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17:   Queries and concept learning (context) - Angluin - 1988
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13:   Communications of the ACM (context) - Valiant, of et al. - 1984

BibTeX entry:   (Update)

R. E. Schapire and L. M. Sellie. Learning sparse multivariate polynomials over a field with queries and counterexamples. In Proc. of 6th Annu. ACM Workshop on Comput. Learning Theory, pages 17--26, 1993. http://citeseer.ist.psu.edu/schapire96learning.html   More

@article{ schapire96learning,
    author = "Robert E. Schapire and Linda Sellie",
    title = "Learning Sparse Multivariate Polynomials over a Field with Queries and Counterexamples",
    journal = "Journal of Computer and System Sciences",
    volume = "52",
    number = "2",
    pages = "201-213",
    year = "1996",
    url = "citeseer.ist.psu.edu/schapire96learning.html" }
Citations (may not include all citations):
493   Communications of the ACM (context) - Valiant, of et al. - 1984
465   Learnability and the Vapnik-Chervonenkis dimension (context) - Blumer, Ehrenfeucht et al. - 1989
268   Decision theoretic generalizations of the PAC model for neur.. (context) - Haussler - 1992
244   Learning regular sets from queries and counterexamples (context) - Angluin - 1987
96   Learning decision trees using the Fourier spectrum - Kushilevitz, Mansour - 1993
78   Probabilistic algorithms for sparse polynomials (context) - Zippel - 1979
74   Exact learning via the monotone theory (context) - Bshouty - 1993
54   Reconstructing algebraic functions from mixed data - Ar, Lipton et al. - 1992
48   Learning boolean functions in an infinite attribute space - Blum - 1992
43   Highly resilient correctors for polynomials - Gemmell, Sudan - 1992
41   Interpolating polynomials from their values (context) - Zippel - 1990
32   On zero-testing and interpolation of k-sparse multivariate p.. (context) - Clausen, Dress et al. - 1991
23   Interpolation and approximation of sparse multivariate polyn.. (context) - Roth, Benedek - 1991
17   Learning functions of k terms (context) - Blum, Singh - 1990
15   On learning ring-sum-expansions (context) - Fischer, Simon - 1992
12   Randomized interpolation and approximation of sparse polynom.. - Mansour - 1992
11   A deterministic algorithm for sparse multivariate polynomial.. (context) - Ben-Or, Tiwari - 1988
9   Fast parallel algorithms for sparse multivariate polynomial .. (context) - Yu, Marek et al.
6   second edition (context) - Herstein, Algebra - 1975
2   Applying coding theory to sparse interpolation (context) - Dur, Grabmeier - 1993
1   Bulletin of the American Mathematical Society (context) - Wilf, Mobius et al. - 1968
1   Interpolating GF[2] polynomials (context) - Hellerstein, Warmuth
1   Advances in Applied Mathematics (context) - Dress, Grabmeier et al. - 1991



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