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- W2004686301 abstract "This paper proposes a new learning algorithm based on the versatile elliptic basis function (VEBF) by considering only the most data distributions for automatic computing the appropriate width vector. In addition, the orthonormal basis and Linear Discriminant Analysis (LDA) technique are also applied to the proposed method for adjusting the directions of the hyperellipsoid in the network and improving the performance. After tested by real world data sets, the proposed method illustrates that it outperforms the VEBF and other learning algorithms." @default.
- W2004686301 created "2016-06-24" @default.
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- W2004686301 date "2013-06-01" @default.
- W2004686301 modified "2023-09-25" @default.
- W2004686301 title "One-Pass-Throw-Away Learning Algorithm Based on Hybridization of LDA and PCA" @default.
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- W2004686301 doi "https://doi.org/10.1109/icisa.2013.6579447" @default.
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