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Extending Techniques, Including Implemental Constraints

  • Sándor Csibi
Part of the International Centre for Mechanical Sciences book series (CISM, volume 84)

Abstract

One has actually to solve two sort of problems when devising learning algorithms. Viz., (i) one has to olotain appropriate experimental and, if possible, also theoretical evidence that the procedure in question is really able to learn, it more or less time, the target ⊖ of learning; however (ii) one has also to make efficient use of what is a priori known about the specific properties of the problem. While heuristic ideas concerning these latter properties are usually of help in some in itial period of the learning procedure, one usually needs in the final period a mathematical guarantee that the procedure will really approach to ⊖.

Keywords

Learning Procedure Iterative Learning Final Period Present Volume Heuristic Idea 
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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Copyright information

© Springer-Verlag Wien 1975

Authors and Affiliations

  • Sándor Csibi
    • 1
  1. 1.Telecom. Res. Inst.T.U. of BudapestBudapestHungary

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