Sentence examples for consequent classification from inspiring English sources

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The application of the matrix factorization approaches have been mostly limited to decomposing a single time-frequency matrix into significant time and frequency components to reduce the dimensionality and extract features for consequent classification [34, 39].

We compared estimates of excretory renal function, and consequent classification of CKD, by different formulae.

Further we investigate whether the new MRRMRR method can be accompanied by a consequent classification by tools other than LDA.

Similar(57)

Both methods can be applied with different model architectures, including single model (SM) with class labels as consequents, classification hyper-planes as consequents, and multi-model (MM) architecture.

We looked only at the core ASPH MPH competency domains, with a consequent difficulty in classification of curricular contents completely within one specific domain.

The history of schizophrenia is obscure possibly due to the heterogeneous nature of the disorder and consequent difficulty in formal classification.

This paper proposes a self-splitting fuzzy classifier with support vector learning in expanded high-order consequent space (SFC-SVHC) for classification accuracy improvement.

One reason for why modelling excess mortality has become the preferred method for population-based cancer patient survival analysis is that it not only captures deaths that are directly due to the cancer in question but also deaths that can be thought of as indirect or cancer-consequent, without relying on the classification of cause of death.

While these models yielded statistical evidence of better goodness-of-fit, the consequent changes to item parameter estimates and classifications based on subject scores were modest.

One way, which proved successful in the NUSAP method, for reduction of assessment variables is a classification of input variables and a consequent sensitivity analysis to discern highly relevant input variables [25].

Rule-based classification systems constructed upon linguistic terms in the antecedent and consequent of the rules lack sufficient generalization capabilities.

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