Sentence examples for the difficulty of classification from inspiring English sources

The difficulty of classification comes from a dearth of datasets of human actions that are manually categorized and suitable for use as training data for designing action classifiers.

This case illustrates the difficulty of classification of the CTG…' (p. 1199).

96 As for remarks about the difficulty of classification, the answer was 'first get your Causes and then see about classifying them'.

Testing the performance (predictive accuracy and run time) of the proposed methods, requires evaluating them over datasets with different properties such as (1) number of samples contained in the dataset, (2) number of cancer types contained in the dataset, and (3) the similarity level between samples from different cancer types, which indicating the difficulty of classification.

The lack of such studies is compounded by the difficulties of classification of the two disease entities.

The difficulties of classification involve the difference between national law (where the subjects of the law include natural persons and corporations) and international law (where the subjects include sovereign states and international organisations); they can also be seen in the light of differing European and American constitutional traditions.

Previously, the difficulties of classification and thereby of recommending the optimal treatment and follow-up for patients were identified to be problems of young adults, but now it appears as a problem of all ages, not least in the elderly, where diabetes is most frequent (7, 8).

Moreover, by establishing the difficulty of a classification problem quantitatively, several studies in classification can be carried out, such as algorithm recommendation, guided data pre-processing and design of problem-aware classification algorithms.

We also were interested determine to what extent the cross-validation classification performance is influenced by different data-resampling methods and the difficulty of the classification problem.

The results indicate the difficulty of automatic classification of snakes, nonetheless, is indicative of the practical use in as a first line prediction of the snake classification.

Figure 8 The perceptron's error rate vs the difficulty of the classification task and as a function of the parameters determining the learning rate.