The average accuracy rates for SCSP2 (minimizing the selected channel(s) while maintaining the accuracy comparable to all channels' accuracy) were 79.07% with 8.55 average number of channels and 79.28% with 7.6 average number of channels for the first and second datasets, respectively.
A multi-objective strategy is used for maximizing the accuracy and minimizing the complexity of the models.
To achieve scalability, a delicate tradeoff has to be made between minimizing the size and maximizing the accuracy of the aggregated state.
The generations of populations are evaluated and ranked during the evolution process based on goodness-of-fit functions used to optimize the models and calculated in CV, maximizing the accuracy and minimizing the number of descriptors.
Suitable cutoffs for the GO depth and the Pearson correlation in (iii) and (iv) were determined by maximizing the positive predicted value and the accuracy while minimizing the false discovery rate for 1,000 randomly picked positive pairs as defined by KEGG (see above) and 1,000 random gene pairs or 500 pairs for (iii) and (iv), respectively.
Remans, T. et al. Reliable gene expression analysis by reverse transcription-quantitative PCR: reporting and minimizing the uncertainty in data accuracy.
Our task is to select a smaller number of simple fuzzy if-then rules with high classification performance, and this is performed by maximizing the classification accuracy, minimizing the number of selected rules, and minimizing the total rule length at the same time.
The goal of designing an optimal nearest neighbor classifier is to maximize the classification accuracy while minimizing the sizes of both the reference and feature sets.
The goal of designing optimal nearest neighbor classifiers is to maximize classification accuracy while minimizing the sizes of both reference and feature sets.
To obtain a model of small order with satisfactory accuracy, an optimum nodalization scheme is arrived at by comparing the transient response accuracies and computation speeds of node models with different nodalization schemes, which keeps a good balance between maximizing the computational accuracy and minimizing the computing time.
