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Probabilities: Bayesian Classifiers

  • Miroslav Kubat
Chapter

Abstract

The earliest attempts to predict an example’s class based on the known attribute values go back to well before World War II—prehistory, by the standards of computer science. Of course, nobody used the term “machine learning,” in those days, but the goal was essentially the same as the one addressed in this book.

References

  1. 14.
    Chow, C. K. (1957). An optimum character recognition system using decision functions. IRE Transactions on Computers, EC-6, 247–254.MathSciNetCrossRefGoogle Scholar
  2. 25.
    Fisher, R. A. (1936). The use of multiple measurement in taxonomic problems. Annals of Eugenics, 7, 111–132.Google Scholar
  3. 33.
    Good, I. J. (1965). The estimation of probabilities: An essay on modern Bayesian methods. Cambridge: MIT.zbMATHGoogle Scholar
  4. 72.
    Neyman, J. & Pearson E. S. (1928). On the use and interpretation of certain test criteria for purposes of statistical inference. Biometrica, 20A, 175–240.zbMATHGoogle Scholar
  5. 74.
    Parzen E. (1962). On estimation of a probability density function and mode. Annals of Mathematical Statistics, 33, 1065–1076.MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Miroslav Kubat
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of MiamiCoral GablesUSA

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