Sentence examples for difficult dataset from inspiring English sources

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Yet at the same time, these characteristics make it a difficult dataset to process and examine using classical techniques.

We suggest that existing efforts have focused on data that is too easy, and we provide a more difficult dataset based on MT translation references which has a lower baseline which we beat by 17% absolute F1.

The cross-validation results show the viability of our modelling approach on a difficult dataset (CHEN11), and the evaluation of the final model on the remaining datasets attests the generalization ability and applicability of our software out of the box.

For example, while CRM1 took in average 8 seconds to solve the most difficult dataset having 10 SNPs, CRM2 took in average at least 10 seconds independently from the error ratio, and even longer on instances 03, 05, 06, 08 and 11 of dataset 50×10r4 where 19.657, 62.160, 34.429, 40.416, and 15.974 seconds, respectively, were needed to find the optimum.

Hence, it appears that GHeat is a more difficult dataset to impute.

For a less difficult dataset, we ran the algorithm on all clusters contained in more than one input tree.

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On other such difficult datasets we have tried, very similar results were found (see [6] for depictions of shiny and shadowed datasets).

VIPeR [10] (Viewpoint Invariant Pedestrian Recognition) is a standard dataset for person re-identification problem and is considered as one of the most difficult datasets.

In general, in terms of performance, wavelet-based techniques exhibit a trend similar to that of other techniques where high accuracies are reported on private datasets while the publicly available and more difficult datasets still offer a number of challenges.

Our study illustrates how multigene sequences can be used to disentangle the evolutionary history of agamic complexes or similarly difficult datasets.

Our work differs from other earlier works in both the framework and a detailed analysis on a very difficult legacy dataset, MORPH Album 1.

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