Εμφανίζονται 1 - 8 Αποτελέσματα από 8 για την αναζήτηση '"Training data."', χρόνος αναζήτησης: 0,02δλ Περιορισμός αποτελεσμάτων
  1. 1

    Mixing Wheat with the Chaff Creating Useful Test Data for IDS Evaluation. ανά Allen, W.H

    Άρθρο

    Mixing Wheat with the Chaff Creating Useful Test Data for IDS Evaluation.
  2. 2

    Maximum-likelihood-based multipath channel estimation for code-division multiple-access systems. ανά Ertin, E.

    Τόπος έκδοσης IEEE Transactions on communications
    Άρθρο

    Maximum-likelihood-based multipath channel estimation for code-division multiple-access systems.
  3. 3

    Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. ανά Zhi-Hua Zhou

    Άρθρο

    Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble.
  4. 4

    A shape-based approach to the segmentation of medical imagery using level sets. ανά Tsai, A.

    Τόπος έκδοσης IEEE Transactions on medical imaging
    Άρθρο

    A shape-based approach to the segmentation of medical imagery using level sets.
  5. 5

    Automatic generation of phonetic regression class trees for MLLR adaptation. ανά Haeb-Umbach, R.

    Άρθρο

    Automatic generation of phonetic regression class trees for MLLR adaptation.
  6. 6

    A characteristic-point-based fuzzy inference system aimed to minimize the number of fuzzy rules. ανά Tang-Kai Yin

    Τόπος έκδοσης IEEE Transactions on fuzzy systems
    Άρθρο

    A characteristic-point-based fuzzy inference system aimed to minimize the number of fuzzy rules.
  7. 7

    Support vector learning mechanism for fuzzy rule-based modeling a new approach. ανά Jung-Hsien Chiang

    Τόπος έκδοσης IEEE Transactions on fuzzy systems
    Άρθρο

    Support vector learning mechanism for fuzzy rule-based modeling a new approach.
  8. 8

    ANN-based techniques for estimating fault location on transmission lines using Prony method. ανά Tawfik, M.M

    Τόπος έκδοσης IEEE Transactions on power delivery
    Άρθρο

    ANN-based techniques for estimating fault location on transmission lines using Prony method.

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