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For the objective of minimum error rate in the defect classification, this paper compares six wavelet transform-based classification methods, using different discriminative training approaches to the design of the feature extractor and classifier.
The 4D-CHAINS algorithm analyzes two 4D spectra recorded using a single, fully protonated protein sample in an iterative ansatz where common NOEs between different spin systems supplement conventional through-bond connectivities to establish assignments of sidechain and backbone resonances at high levels of completeness and with a minimum error rate.
The radial basis kernel function for IMF1 provides better MI task classification accuracy 97.56%, sensitivity 96.45%, specificity 98.96%, positive predicted value 99.2%, negative predictive value 95.2%, and minimum error rate detection 4.28%.
The toolkit also implements sufï¬x-array grammar extraction and minimum error rate training.
The toolkit also implements suffix-array grammar extraction and minimum error rate training.
We chose the minimum error rate group as the selected parameter in the groups.
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Each trainee was evaluated individually and allowed to participate in the study only after he or she displayed minimum error rates for the tasks involved in the study.
Although this is an arbitrary range, the minimum error rates in all the permutations had increased by a cutoff of 10.
Meyer and Paulay [ 13] tested different threshold methods in COI barcodes of cowries and found extensive overlap of overall intraspecific distances with interspecific distances, resulting in minimum error rates of ~17% to screen for putative new species.
Presented here are practical minimum mean square error (PMMSE), practical maximum mutual information (PMMI), practical minimum symbol error rate (PMBER), and practical SVD (PSVD) designs for the precoder and decoder.
The PMBER approach maximizes for each pair a lower bound for the minimum distance between symbol hypotheses and is an approximate alphabet-independent minimum bit error rate (BER) design.
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