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Manhattan distance measure is used to measure the similarity between test and train images.
The AD analysis indicated that an average Tc cut-off distance between test and train of 0.3 could be incorporated into the predictions of the classes in the future, to give insight into the degree of confidence for the probabilities generated by the model.
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However, the mismatch in noise type and SNR value between test and training speech make it difficult for the MMSR to perform significantly better than the MTR method.
The sequence alignment method was developed using BLASTP to calculate the HSPs scores between test and training sequences.
The test sequence in this project is represented by a feature vector that consists of a list of similarity scores between test and training sequences.
Results are summarized in Table 3 where it can be seen that our method (SAAPpred) evaluated using 10-fold cross-validation (i.e. with no overlap between test and training sets) performs better than competing methods where there may be overlap between testing and training data.
For the present study, to maximize connections between test and training sets we utilized the β⃗ derived from a subset of our total population (diagnosis of IDC or DCIS+IDC, N=30) (〈 β zHb t 〉 = 0.93, 〈 β zStO 2〉 = −0.42, 〈 β zμ′s〉 = 3.62, 〈 β0〉 = −5.67).
Gustavo de los Campos (University of Alabama, USA) showed that predictive performance depends strongly on the pairwise relatedness between test and training samples: the SNP heritability analysis of Visscher therefore pays a large price in efficiency by using unrelateds, in return for the flexibility of allowing genome partitioning.
It is known that current NER systems are highly sensitive to differences between testing and training data (Huang and Xue 2012: 503), but for many forms of written Chinese, tagged test data is simply not available.
(B ) Data from (A ) combined according to 'Match' or 'Mismatch' between test- and training-punishment.
The extent of relatedness between testing and training animals was evaluated using statistics similar to maxr and ave5 (described previously).
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