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Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor (2003)  (Make Corrections)  
Richard Nock, Tapio Elomaa, Matti Kääriäinen



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Abstract: In this paper, we prove under a plausible complexity hypothesis that Reduced Error Pruning of branching programs is hard to approximate within log n,forevery#>0, where n is the number of description variables, a measure of the problem's complexity. The result holds under the assumption that NP problems do not admit deterministic, slightly superpolynomial time algorithms: NP |I |) ). This improves on a previous result that only had a small constant inapproximability ratio, and puts a... (Update)

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BibTeX entry:   (Update)

@misc{ nock-reduced,
  author = "Richard Nock and Tapio Elomaa and Matti Kääriäinen",
  title = "Reduced Error Pruning of branching programs cannot be approximated to within
    a logarithmic factor",
  url = "citeseer.ist.psu.edu/nock03reduced.html" }
Citations (may not include all citations):
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2177   Programs for Machine Learning (context) - Quinlan - 1993
1262   Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
248   An Introduction to Computational Learning Theory (context) - Kearns, Vazirani - 1994
226   for approximating set cover (context) - Feige, of - 1998
162   Simplifying decision trees - Quinlan - 1987
115   Approximating the value of two prover proof systems (context) - Feige, Goemans - 1995
11   bottom-up decision tree pruning algorithm with near-optimal .. (context) - Kearns, Mansour et al. - 1998
5   On learning width two branching programs - Bshouty, Tamon et al. - 1996
5   Learning -branching programs with queries (context) - Raghavan, Wilkins - 1993
5   Some optimal inapproximability results (context) - Hstad - 2001
4   Boosting using branching programs - Mansour, McAllester - 2002
4   An analysis of reduced error pruning - Elomaa, Kriinen - 2001
1   The difficulty of reduced error pruning of leveled branching.. - Elomaa, Kriinen - 2003

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