In the VCA method, after the Grobner basis of vanishing ideal is calculated, it is possible to implement classification via the classification decision function.
To further illustrate the potential prognostic application of pathway L values, we implemented classification models built on genes identified by a published methodology for gene expression analysis, and compared the resulting prediction performances against the results reported above.
Based on a comparison of four classification systems, Müller-Staub [ 8] concluded that the NANDA-I classification is the best-researched and internationally most widely implemented classification system.
In contrast, the "white-box" models, such as Decision Trees [ 4], Rough Sets [ 5], and emerging patterns (EPs) [ 6], often implement classification by giving "IF-THEN -like rules.
Other optimization procedures implementing classification methods such as the greedy algorithm and simulated annealing were also investigated here and in the past [ 28- 30].
To further assess the potential predictive relevance of our approach, we implemented classification models based on network neighbourhoods retrieved by the STRING system [ 23].
By implementing classifications with the selected features, it is demonstrated that the selected features have good discriminative power.
Among the properties, we selected features which show different tendencies between the two groups and implemented classifications using support vector machine, random forest, and linear logistic regression methods to confirm whether or not these features can identify LoF and GoF mutations.
In practice, the gateway implements packet classification and per hop forwarding scheduling according to the DSCP value of each packet.
S-MAS proposes a distributed hierarchical multi-agent architecture that implements a classification mechanism in two phases.
