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Learning in potential-function classifier

Learning in potential-function classifier

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An earlier letter showed that the potential-function classifier is a member of a general family of classifiers. The letter describes experiments intended to test the usefulness of the family relationship by applying to the potential-function-classifier training methods originally developed for a different classifier. These methods proved successful.

References

    1. 1)
      • B.G. Batchelor , N.L. Ford , B.R. Wilkins . Family of pattern classifiers. Electron. Lett. , 368 - 369
    2. 2)
      • A.G. Arkadev , E.M. Braverman . (1967) , Teaching computers to recognise patterns.
    3. 3)
      • T.M. Cover , P.E. Hart . Nearest neighbour pattern classification. IEEE Trans.
    4. 4)
      • B.G. Batchelor , B.R. Wilkins . (1968) Adaptive discriminant functions, Pattern recognition.
    5. 5)
      • Batchelor, B.G.: `Learning machines for pattern recognition', 1968, Ph.D. thesis, University of Southampton.
    6. 6)
      • N.L. Ford , B.G. Batchelor , B.R. Wilkins . A learning scheme for the nearest neighbour classifier.
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