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Directory UMM :Data Elmu:jurnal:M:Mathematical Social Sciences:Vol38.Issue3.Nov1999:

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Fig. 1. Feature space representations of the signal set used for classification learning
Fig. 2. Virtual prototype solution obtained by minimizing the mean squared error e2between observedclassification data and predicted classification data
Fig. 3. Learning-tomogram series for two observers. These estimates were obtained using a Gaussian Kernelwith spread parameterkernel (cf
Fig. 4. (A) Histogram plot of the number of stereotypes obtained for a range of temporal resolutions definedby the Kernel width parameter h

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