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1
Improving the Performance of Multinomial Logistic Regressio..:
, In:
2020 International Conference on Decision Aid Sciences and Application (DASA)
,
Yusof, Shahrul Azmi Mohd
;
Atanda, Abdulwahab F.
;
Husni, Husniza
- p. 714-718 , 2020
Link:
https://doi.org/10.1109/DASA51403.2020.9317106
RT T1
2020 International Conference on Decision Aid Sciences and Application (DASA)
: T1
Improving the Performance of Multinomial Logistic Regression in Vowel Recognition by Determining Best Regression Coefficients
UL https://suche.suub.uni-bremen.de/peid=ieee-9317106&Exemplar=1&LAN=DE A1 Yusof, Shahrul Azmi Mohd A1 Atanda, Abdulwahab F. A1 Husni, Husniza YR 2020 K1 Training K1 Speech recognition K1 Testing K1 Feature extraction K1 Task analysis K1 Maximum likelihood estimation K1 Logistics K1 Vowel Recognition K1 Multinomial Logistic Regression K1 Automatic Speech Recognition K1 Regression Coefficients SP 714 OP 718 LK http://dx.doi.org/https://doi.org/10.1109/DASA51403.2020.9317106 DO https://doi.org/10.1109/DASA51403.2020.9317106 SF ELIB - SuUB Bremen
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