Sentence examples for learning sample of from inspiring English sources

Additionally, a learning sample of 5 patients will be incorporated to allow the surgeons to familiarize themselves with the novel prototype software.

The algorithm ApicoAP described in [ 19] predicts apicoplast-targeted proteins containing the signal peptide, because it trains on a learning sample of signal peptide-containing proteins.

In the future, we are going to acquire sequential online degradation measurements for real-time performance degradation assessment and detection, and enlarge the number of fault and learning samples for more accurate fault diagnosis.

Boosting is a method of combining ensemble classifiers created from a weighted version of learning sample, where weights have been adjusted at each step to provide increased weight to cases misclassified earlier.

The small sample effects include: (i) training bias, i.e. learning sample size influence on generalization error of the base experts or of the fusion rule, (ii) optimistic biased outputs of the experts (self-boasting effect) and (iii) sample size impact on determining optimal complexity of the fusion rule.

Next, to avoid selection bias from a pattern of selection of learning samples, we repeat the entire process 20 times by shuffling samples at every 10-fold CV.

This analysis, involving all samples and not making use of learning samples, does not resolve whether or not interbreeding occurs between NSH and ELW.

In practice, the minimum node size is usually set at 10% of the learning sample to avoid potentially over fitting the model such that the final decision tree is more likely to be useful for classifying populations with similar characteristics as that of the learning sample but was not used for deriving the CART model.

The data were split, which was set at random, into two parts: a learning sample (2 out of 3) and a validation sample (1 out of 3).

Probability distribution of modalities for all the variables expressed as percentages for the learning sample represents the belief of the network (Table 2).

Both SD and SJ were trained by using a large learning sample at the stage of abstract screening and manuscript review.