Sentence examples for classifications of training from inspiring English sources

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According to the classifications of training hospitals, most ICH patients stay in regional hospitals (881 cases); the rest stay in medical centers (571 cases) and local hospitals (147 cases).

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Classification of training status has been discussed in a review of strength training effects by Wernbom et al. [36].

Experiment reveals that, the soft classification ability of GMM can promptly realize the reduction and classification of training data under the premise of ensuring the training effect.

However, in the recent work, authors propose the use of classification of training data based on scale invariant features and learn the class-dependent dictionaries instead of a single universal one or on multi-scales.

The proposed evaluation framework focuses on both qualitative and quantitative evidence concerning the attainment of milestones implied in the extended Kirkpatrick classification of training measures.

The proposed evaluation framework focuses on both qualitative and quantitative evidence concerning the attainment of milestones implied in the extended Kirkpatrick classification of training evaluation measures.

In this way, the dependence of classification on training and test sets is removed but it could incur over-training of the classifier.

In an unsupervised training, the network learns to form their own classifications of the training data without external help.

The current findings are limited to the classifications of musical training and bilingualism used.

Furthermore, when the classifications of the training dataset were compared, all of the members of SLC39A6/GATA3 Group 1 were in BCMP11/ABCC11 Group 1, all of the members of SLC39A6/GATA3 Group 3 were in BCMP11/ABCC11 Group 3, and the majority of the members of SLC39A6/GATA3 Group 2 were in the BCMP11/ABCC11 Group 2 (Table 5 upper).

We have found that two populations that are closely related due to admixture or recent shared ancestry can be more easily assessed by ranking the classification likelihoods of training sets in a combined plot of both populations.

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