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Perceptrons, PP, and the polynomial hierarchy

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Abstract

We construct a predicate that is computable by a perceptron with linear size, order 1, and exponential weights, but which cannot be computed by any perceptron having subexponential\((2^{n^{o(1)} } )\) size, subpolynomial (n o(1)) order and subxponential weights. A consequence is that there is an oracle relative to which PNP is not contained in PP.

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References

  • E. Allender, A note on the power of threshold circuits. InProceedings of the 30th Ann. Symp. Found. Comput. Sci., 1989, 580–584.

  • E. Allender and U. Hertrampf, Depth reduction for circuits of unbounded fanin.Inform. and Comput. 108 (1994). To appear.

  • J. Aspnes, R. Beigel, M. Furst, and S. Rudich, The expressive power of voting polynomials. InProceedings of the 23rd Ann. ACM Symp. Theor. Comput., 1991, 402–409. A revised version is to appear inCombinatorica.

  • R. Beigel and J. Tarui, On ACC. This Journal.

  • R. Beigel, L. A. Hemachandra, andG. Wechsung, Probabilistic polynomial time is closed under parity reductions.Inform. Process. Lett. 37(2) (1991a), 91–94.

    Google Scholar 

  • R. Beigel, N. Reingold, and D. Spielman, The perceptron strikes back. InProceedings of the 6th Ann. Conf. Structure in Complexity Theory, 1991b, 286–291.

  • R. Beigel, N. Reingold, and D. Spielman, PP is closed under intersection.J. Comput. System Sci. 48 (1994). To appear.

  • S. R. Buss andL. E. Hay, On truth table reducibility to SAT.Inform. and Comput. 91(1) (1991), 86–102.

    Google Scholar 

  • E. W. Cheney,Approximation Theory. McGraw-Hill, 1966.

  • H. Ehlich andK. Zeller, Schwankung von polynomen zwischen gitterpunkten.Math. Z. 86 (1964), 41–44.

    Google Scholar 

  • B. Fu, Separating PH from PP by relativization.Acta Math. Sinica 8(3) (1992), 329–336.

    Google Scholar 

  • M. Furst, J. B. Saxe, andM. Sipser, Parity, circuits, and the polynomial-time hierarchy.Math. Systems Theory 17(1) (1984), 13–27.

    Google Scholar 

  • T. Gundermann, N. Nasser, and G. Wechsung, A survey of counting classes. InProceedings of the 5th Ann. Conf. Structure in Complexity Theory. IEEE Computer Society Press, 1990, 140–153.

  • L. Hemachandra andG. Wechsung, On the power of probabilistic polynomial time:\(P^{NP[log]} \subseteq PP\). Technical Report CUCS-372-88, Columbia Dept. of Computer Science, New York, NY, 1988.

    Google Scholar 

  • G. G. Lorentz,Approximation of Functions. Holt, Rinehart and Winston, New York, 1966.

    Google Scholar 

  • M. L. Minsky andS. A. Papert,Perceptrons. MIT Press, Cambridge, MA, 1988. Expanded version of the original 1968 edition.

    Google Scholar 

  • G. Pólya andG. Szegö,Problems and Theorems in Analysis. Springer-Verlag, Berlin, 1972.

    Google Scholar 

  • T. J. Rivlin andE. W. Cheney, A comparison of uniform approximations on an interval and a finite subset thereof.SIAM Numer. Anal. 3(2) (1966), 311–320.

    Google Scholar 

  • J. Tarui, Probabilistic polynomials, AC0 functions, and the polynomial-time hierarchy.Theoret. Comput. Sci. 113 (1993), 167–183.

    Google Scholar 

  • S. Toda, PP is as hard as the polynomial-time hierarchy.SIAM J. Comput. 20(5) (1991), 865–877.

    Google Scholar 

  • S. Toda andM. Ogiwara, Counting classes are at least as hard as the polynomial-time hierarchy.SIAM J. Comput. 21(2) (1992), 316–328.

    Google Scholar 

  • A. C.-C. Yao, On ACC and threshold circuits. InProceedings of the 31st Ann. Symp. Found. Comput. Sci., 1990, 619–627.

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Beigel, R. Perceptrons, PP, and the polynomial hierarchy. Comput Complexity 4, 339–349 (1994). https://doi.org/10.1007/BF01263422

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