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Lattice-Search Runtime Distributions May Be Heavy-Tailed (2002)  (Make Corrections)  (12 citations)
Filip Zelezny, Ashwin Srinivasan, David Page



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Abstract: Recent empirical studies show that runtime distributions of backtrack procedures for solving hard combinatorial problems often have intriguing properties. Unlike standard distributions (such as the normal) , such distributions decay slower than exponentially and have "heavy tails". Procedures characterized by heavy-tailed runtime distributions exhibit large variability in efficiency, but a very straightforward method called rapid randomized restarts has been designed to essentially improve... (Update)

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0.6:   Heavy-Tailed Phenomena in Satisfiability and Constraint.. - Gomes, Selman, Crato.. (1999)   (Correct)
0.5:   A Monte Carlo Study of Randomised Restarted Search in ILP - Zelezny, Srinivasan, Page (2004)   (Correct)
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BibTeX entry:   (Update)

F. Zelezny, A. Srinivasan, and D. Page. Lattice-search runtime distributions may be heavy-tailed. In The Twelfth International Conference on Inductive Logic Programming. Springer Verlag, July 2002. http://citeseer.ist.psu.edu/zelezny02latticesearch.html   More

@misc{ zelezny02latticesearch,
  author = "F. Zelezny and A. Srinivasan and D. Page",
  title = "Lattice-search runtime distributions may be heavy-tailed",
  text = "F. Zelezny, A. Srinivasan, and D. Page. Lattice-search runtime distributions
    may be heavy-tailed. In The Twelfth International Conference on Inductive
    Logic Programming. Springer Verlag, July 2002.",
  year = "2002",
  url = "citeseer.ist.psu.edu/zelezny02latticesearch.html" }
Citations (may not include all citations):
1262   Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
313   Inductive logic programming: Theory and methods - Muggleton, De Raedt - 1994
124   Boosting combinatorial search through randomization - Gomes, Selman et al. - 1998
85   Theories for mutagenicity: A study in first-order and featur.. - Srinivasan, Muggleton et al. - 1996
59   Locating the phase transition in binary constraint satisfact.. - Smith, Dyer - 1996
55   Special issue on Inductive Logic Programming (context) - Muggleton, Progol et al. - 1995
52   Probability and Statistics for Engineers and Scientists (context) - Walpole, Myers - 1978
34   Heavy-tailed phenomena in satisfiability and constraint sati.. - Gomes, Selman et al. - 2000
33   Feature construction with Inductive Logic Programming: a stu.. - Srinivasan, King - 1999
27   Carcinogenesis predictions using ilp - Srinivasan, King - 1997
21   Summarizing CSP hardness with continuous probability distrib.. - Frost, Rish et al. - 1997
12   Resource-bounded relational reasoning: Induction and deducti.. (context) - Sebag, Rouveirol - 2000
10   Phase transitions in relational learning (context) - Giordana, Saitta - 2000
6   A study of two probabilistic methods for searching large spa.. - Srinivasan - 2000
3   Theta-subsumption in a constraint satisfaction perspective (context) - Maloberti, Sebag - 2001
3   Relational learning: hard problems and phase transitions (context) - Botta, Giordana et al. - 1999
2   Learning on the phase transition edge (context) - Serra, Giordana et al. - 2001
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