The key of a successful voting system is to build a pool of diverse classification models, each with reasonably good performance.
A key direction resulting from the studies presented is a more specific and diverse classification of breast cancer into multiple genome-driven subtypes, each potentially with a personalized treatment approach.
There were reported a diverse of classification precisions for epileptic EEG data.
With this diverse classification, it would be expected that a particular therapeutic agent or dietary supplement might not be effective for all malignant subtypes.
We also discuss the advantages and disadvantages of each category under diverse classification criterion.
In the present study, diverse classification models have been developed for anti-Hepatitis C virus (HCV) activity of thiourea derivatives.
In the present study, the relationship between anti-HIV activity and the structure of purine nucleoside analogs has been investigated and suitable models developed using diverse classification techniques, i.e., DT, RF, SVM, and MAA.
Therefore, we propose the multi-column ELM-AE algorithm, which performs multiple ELM-AEs with different numbers of the hidden nodes on the same sound frame to generate diverse classification results.
These three studies were much different from our research for two reasons: the use of diverse classification criteria in the first study; in general, the different study designs, with the lack of relations among BDNF levels, clinical markers of disease severity, and the patients' BDNF genotype.
Several research fields frequently deal with the analysis of diverse classification results of the same entities.
