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In conclusion, PSS-SVM is a valuable alternative to SVM and RUSBoost for the problem of classification by huge and imbalanced data, due to its accurate statistical predictions and low computational complexity.
Current gene models in this species are largely based on in silico predictions and low coverage expressed sequence tag (EST) evidence.
DDIs "inferred from PDB entries" and "high confidence predictions" in the DOMINE database are considered in this study, while "medium confidence predictions" and "low confidence predictions" are discarded.
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The inclusion of these transcriptomes markedly improves the current Amphimedon protein-coding gene models, which were primarily based on ab initio predictions and low-throughput EST evidence, and increases the total number of protein-coding genes in the genome by 25%.
Due to the characteristics of unresponsive prediction and low precision, conventional kick detection methods cannot meet the demands of deep water well control.
Combining the two approaches we can distinguish between low-ranking queries due to poor prediction and low-ranking queries due to an inadequate similarity measure: as long as the same trends result from evaluating performance in terms of the relative accuracy index or in terms of the MRR, we can be certain that the evaluation is not biased by a poorly discriminating similarity measure.
Traditional DNN based video prediction algorithms wholly and coarsely forecast the next frame, but the proposed video prediction algorithms severally and precisely anticipate single pixel of future frame in order to achieve high prediction accuracy and low computation cost.
These findings indicate high prediction accuracy and low model complexity.
The results show that the proposed approach has high prediction accuracy and low computational cost for the global buckling analysis of composite sandwich shells with lattice cores.
By employing this approach, state parameters and non-uniform homogenization are adopted, resulting in high prediction accuracy and low computational cost without loss of the local (micro) detail of the composite structure.
From the observation in simulation, the MIS scheme is feasible in low prediction number and low measurement noise.
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