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Each CR node is able to classify and estimate spectrum of a signal r(t) by using the sample set x[3].
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Then, using the sample sets and, nonparametric color pdf's for the background layer and the object layer, respectively, are estimated by (9).
More than 100 networks were trained using the sample sets of 25 genes each.
In order to compare with microPred in a fair way, we used the sample set and feature set of microPred to train the model of MiRNAClassify.
As an example, an hourly irradiance forecast is completed using the sample data set in Shanghai, and comparisons between irradiation models show that the DRWNN model is definitely more accurate.
These methods were applied for increasing the quality of forecasts using the sample data sets from experiments and different investigations.
Overall, we observed highly structured co-occurrence patterns using the sample-based data set, which resulted in four clusters of OTUs comprising 68 of the 92 OTUs (Figure 2a).
The training process of the PNN is straightforward and it is accomplished by setting the weights of the network using the samples of the training set; thus no learning algorithm is applied during PNN's implementation.
Gene expression assays were performed using the same sample set for technical validation and five additional samples (from five different individuals) for biological validation.
The low number of samples used in this research suggested use of internal validation involving validation of the calibration models using the same sample set as that used for calibration development.
Biomarkers identified from the discovery studies were first verified using the discovery sample set.
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