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Moreover, we know that the results of different types of predictions do not fully agree with each other [ 13].
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Different types of prediction error were considered, such as excluding coding exons, including introns as part of the coding sequence, or wrongly predicting start and termination sites.
The different types of prediction results shown above demonstrate the capability of the prediction system to detect potential zoonotic avian strains.
We have developed two different types of prediction methods: (1) prediction of aaRSs, and (2) discrimination between class-1 and class-2 aaRSs.
Such a natural and adaptive mechanism optimizes the contribution of different types of prediction error signals to future decisions and actions according to the pattern of recent successes and failures in prediction.
The proposed prediction model of memory asserts that different brain areas to mediate different forms of memory because they support different type of prediction analysis.
Importantly, however, the results of such analyses may not be transferable to other types of data (i.e. predictions generated by a different type of prediction technique) and will therefore not usually support general statements about the performance of a scoring function (as seen in Section 3.4).
Although all these different types of ortholog prediction algorithms are widely used, studies that evaluate ortholog prediction algorithm performance for molecular phylogenetic purposes are not available.
The difficulty in accurately determining orthology, the utility of orthology in many different applications and disciplines, and the abundance of genomic data necessitating high-throughput pipelines for prediction, have led to the development of several different types of ortholog prediction algorithms [8].
The use of a performance profiling framework with the DREAM3 benchmark problems revealed that current inference methods are affected by different types of systematic prediction errors [ 6].
With regard to spatial scalability in SVC, in addition to intra/inter-predictions, the redundancy between the lower and the higher spatial layers can be exploited and removed by different types of inter-layer prediction, e.g., inter-layer intra-prediction, inter-layer motion prediction, and inter-layer residual prediction.
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