Sentence examples for classification of training from inspiring English sources

Exact(5)

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.

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

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.

Similar(55)

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).

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

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.

Healthcare workers (HCWs) were identified by classification, level of training, and physician team.

Once a cut-off point was selected for a given variable, the resulting 2 × 2 classification matrix of training data enabled sensitivity and specificity to be computed [ 17].

The SAM2 classifier is the least stringent with the threshold E = 6.52, which is obtained at the minimum error point [ 26] based on the classification of the training set (total errors: 4 out of 2,030 training samples: no false positive and 4 false negatives).

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