Decision tree design by simulated annealing

R. S. Bucy; R. S. Diesposti

ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique (1993)

  • Volume: 27, Issue: 5, page 515-534
  • ISSN: 0764-583X

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Bucy, R. S., and Diesposti, R. S.. "Decision tree design by simulated annealing." ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique 27.5 (1993): 515-534. <http://eudml.org/doc/193713>.

@article{Bucy1993,
author = {Bucy, R. S., Diesposti, R. S.},
journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique},
keywords = {simulated annealing; classification; decision trees},
language = {eng},
number = {5},
pages = {515-534},
publisher = {Dunod},
title = {Decision tree design by simulated annealing},
url = {http://eudml.org/doc/193713},
volume = {27},
year = {1993},
}

TY - JOUR
AU - Bucy, R. S.
AU - Diesposti, R. S.
TI - Decision tree design by simulated annealing
JO - ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
PY - 1993
PB - Dunod
VL - 27
IS - 5
SP - 515
EP - 534
LA - eng
KW - simulated annealing; classification; decision trees
UR - http://eudml.org/doc/193713
ER -

References

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  1. [1] E. AARTS and J. KORST, 1989, Simulated Annealing and Boltzmann Machines, John Wiley and Sons. Zbl0674.90059MR983115
  2. [2] A. J. BAYES, 1973, A dynamic programming algorithm to optimize decision table code, Australian Computer Journal, 5, 77-79. 
  3. [3] L. BREIMAN, J. FRIEDMAN, R. OLSHEN and C. STONE, 1984, Classification and Regression Trees, EDMAN, R. OLSH Wadsworth Int. Zbl0541.62042MR726392
  4. [4] R. S. BUCY and R. S. DIESPOSTI, 1991, Classification Tree Optimization by Simulated Annealing The Aerospace Corp., P.O. Box 92957, Los Angeles,California, USA 90009-2957, ATR No 91 (8073)-l. 
  5. [5] A. CORANA, M. MARCHESI, C. MARTINI, S. RIDELLA, 1987, Minimizing multimodal functions of continuous variables with the simulated annealing algorithm, ACM Trans, on Mathematical Software, 13, 262-280. Zbl0632.65075MR918580
  6. [6] G. DEWEY, 1950, Relative Frequency of English Speech Sounds, Harvard University Press. 
  7. [7] A. EL GAMAL, L. HEMACHANDRA, I. SHPERLING and V. WEI, 1987, Using simulated annealing to design good codes, IEEE Trans. on Information Theory 33, 116-123. 
  8. [8] R. G. GALLAGER, 1968, Information Theory and Reliable Communication, John Wiley and Sons. Zbl0198.52201
  9. [9] M. R. GAREY, 1970, Optimal Binary Decision Trees for Diagnostic Identification Problems, Ph. D. Thesis, Univ. of Wisconsin. 
  10. [10] M. R. GAREY and R. L. GRAHAM, 1974, Performance bounds on the splitting algorithm for binary testing, Acta Informatica, 3, 347-355. Zbl0276.68023
  11. [11] C. R. P. HARTMANN, P. K. VARSHNEY, K. G. MEHROTRA and C. L. GERBERICH, 1982, Application of information theory to the construction of efficient decision trees, IEEE Trans, on Information Theory, 28, 565-577. Zbl0483.68064
  12. [12] J. A. HERRERA-BALL, 1988, Theoretical Foundations and Algorithms for the Generation of Optimal Decision Trees, Ph. D. Thesis, Univ. of Tennessee. 
  13. [13] S. KIRKPATRICK, C. D. Jr. GELATT and M. P. VECCHI, 1983, Optimization by simulated annealing, Science, 220, 671-680. Zbl1225.90162MR702485
  14. [14] N. METROPOLIS, A. ROSENBLUTH, M. ROSENBLUTH, A. TELLER and E. TELLER, 1953, Equation of state calculation by fast Computing machines, J. of Chem. Physics, 21, 1087-1092. 
  15. [15] B. MORET, 1982, Decision trees and diagrams, Computing Surveys 14, 593-623. 
  16. [16] O. MURPHY, 1990, A unifying framework for trie design heuristics, Information Processing Letters 34, 243-249. Zbl0696.68035MR1059987
  17. [17] L. T. REINWALD, R. M. SOLAND, 1966, Conversion of limited entry décision tables to optimal computer programs I : minimum average processing time, J.Ass. Comput. Mach. 13, 339-358. Zbl0173.19505

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