Sentence examples for model identification n-CPMI from inspiring English sources

We call this method n-Centroid Pareto Model Identification (n-CPMI).

We call this method n-Average Pareto Model Identification (n-APMI).

The original methodology uses an iterative three-stage modeling approach: Model identification and model selection.

According to the definition, both n-APMI and n-CPMI are partitioning models that splits chemical space into disjoin groups and allow unambiguous model identification.

After the model identification, another WCDMA signal x ′′(n) is used to test the identified model.

The signals x ADC′(n) and y ADC′(n) are used for the model identification of (1) and (4).

The input x ′(n) and output y noise′(n) of PA are used for the model identification of (1) and (4).

Model identification and model selection.

Figure 7 Nearest model identification.

Table 2 includes results from the comparison of n-CPMI and n-APMI proposed in this paper with the DMS (Double Min Score algorithm) [28] and with the standard classification algorithms such as: NaiveBayes, BayesNet decision trees (PART and J48), nearest neighbour (IBK) or support vector machine (SMO) implemented in WEKA [43].

This makes the model identification challenging.