Sentence examples for between test and training from inspiring English sources
On the other hand, methods such as fuzzy c-means, self-organizing maps, and agglomerative hierarchical clustering performed very differently between test and training parameters.
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.
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.
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.
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.
The extent of relatedness between testing and training animals was evaluated using statistics similar to maxr and ave5 (described previously).
First, the comprehensive series of benchmarks of EFICAz show that we can expect a mean precision of 94% regardless of the sequence similarity between testing and training enzymes.
