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Digital Soil Mapping (DSM) products are simplified representations of more complex and partially unknown patterns of soil variations.
The proposed classifier is compared with the 1-NN, k-NN, Euclidean distance (ED), Parzen, and artificial neural network (ANN) classifiers in terms of the error rate on the unknown patterns, particularly in small training sample size situations.
Also, they are not suitable for detecting unknown patterns in a dynamic context.
Part of what makes Impermium work well, says Risher, is that they can analyze content across multiple partners to detect previously unknown patterns.
Revealing such previously unknown patterns may possibly significantly reduce costs [4] and speed up the drug development process.
By statistically analyzing thousands of patients' electronic medical records, she hopes to discover previously unknown patterns of progression in autoimmune disease.
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The chapter also discusses classifiers that are designed to classify an unknown pattern in the most probable of the classes.
The membership grade of an unknown pattern, which does not shown previously, can be visually and analytically determined.
When the data base of given utterances is insufficient to establish trends with confidence, a large number of feature extractors must be employed and "recognition" of an unknown pattern made by comparing its feature values with those of known patterns.
The objective is to specify a supply strategy such that high level of demand satisfaction is obtained despite unknown pattern of demand variations.
The accessibility of healthcare datasets and data analysis promote the researchers to apply study in extracting unknown pattern from healthcare datasets.
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