Sentence examples for possibility of classification from inspiring English sources

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One of the potential benefits of analysis by FIM is the possibility of classification of particulate matter using a range of statistical and image processing tools.

59– 61 Most of these studies were done before the importance of malarial retinopathy was recognized, though the possibility of classification errors complicates interpretation of these findings.

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The paper discusses the possibility of a classification based on properties of celestial bodies rather than on their orbits.

The extremely large-scale gait database enabled us to evaluate recognition performance under cooperative and uncooperative settings, the impact of the training data size, the recognition difficulty level of the CS labels, and the possibility of the classification of CS labels.

Since with automated machine learning, the possibility of erroneous classification is present, AIDR also provides a confidence level with its auto-tags (which nicely allows integration of human and machine intelligence; e.g., by bringing the human into the loop when the machine's confidence level is below, let us assume, 70%%).

At the same time numerous advancements like inclusion of fuzzy logic, possibility of textural classification, removing biases in simulation and developing a CA-based 2D and 3D land use simulation module are elaborated which are at present showing some promising avenues wherein significant research can be done in future.

It increases the possibility of cancer classification and diagnosis at the gene expression level.

Moreover to reduce the possibility of random classification we performed a permutation test for HMF.

The possible limitations of the study are those inherent to retrospective studies, such as under-registering of resources use, coding errors of disorders, or possible variability among the health care professionals and patients due to the observational design, or even the costing system used and the possibility of a classification bias.

It depends on the theory of classification.

LVQ1 architecture with 25 neurons performed very satisfactorily whereas with 50 and 75 neurons the possibility of mis-classification for E/P-MORB and OIB increased (Fig. 4).

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