Stochastic versus Deterministic Features in Learning Models

  • Ion-Olimpiu Stamatescu
Chapter

Abstract

This paper is not concerned with logics in the strict sense, it is, however, concerned with questions about the logical character of the scientific procedures in the wider sense of self-consistency, adequacy and interconnections between various schemes of thought. This is a reasonable point of view if we accept Peirce’s claim that “according to its nature [logic] is forced to proceed with its research into the condition of reality itself and in doing that it cannot limit itself to language forms but must necessarily enquire about how and what we think.” [6] But independently of patronage the above questions are important in investigating the main traits and alternatives in our scientific thinking. Here we shall try to open a discussion about the character and chances of statistical points of view in science.

Keywords

Boolean Function Classical Statistical Mechanic Stochastic Element Deterministic Feature Stochastic Learn 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    B.A. Berg, J. Riedler: Comp. Phys. Commun. 107 (1997) 39ADSMATHCrossRefGoogle Scholar
  2. 2.
    B.A. Berg, I.-O. Stamatescu: ‘Neural Networks and Confidence Limit Estimates’. In: Field Theoretical Tools for Polymer and Particle Physics, ed. by H. Meyer-Ortmanns, A. Klümper ( Springer, Heidelberg 1998 )Google Scholar
  3. 3.
    J. Hertz, A. Krogh, R.G. Palmer: Introduction to the Theory of Neural Computation (Addison-Wesley, Reading, Mass. 1991 )Google Scholar
  4. 4.
    R. Kühn, I.-O. Stamatescu: J. Phys. A: Math. Gen. 32 (1999) 5749ADSMATHCrossRefGoogle Scholar
  5. 5.
    L. Mlodinow, I.-O. Stamatescu: Int. J. Comp. Inform. Sci, 14 (1985) p. 201CrossRefGoogle Scholar
  6. 6.
    C.S.S. Pierce: Semiotische Schriften I. ed. by Kloesel and Pape (Suhrkamp, Frankfurt 1986) p. 160 (Questions about Reality, 1868 )Google Scholar
  7. 7.
    I.-O. Stamatescu: ‘Statistical Features in Learning’., contribution to LEARNING’98, Madrid, (1998) tond-mat/9809135Google Scholar
  8. 8.
    V.N. Vapnik: Statistical Learning Theory ( John Wiley and Sons, New York 1998 )MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Ion-Olimpiu Stamatescu

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