Sentence examples for example training set from inspiring English sources

Figures 2d and 2e illustrate the difference in texture between two example training set LMS cases with different prognosis.

The training set threshold is adjusted according to data set GSE4475 and the class probability given to each sample by the original classifier; for example, training set Th=0.9 means only include the samples that have a confidence over 0.9 in GSE4475 to train the classifier, and Strict and Wide refer to the strict and wide definition used previously.

For example, train set 3001 consists of the cars 3101, 3201, and 3301.

For each of them, it augments the initial two-example training set with each of the other examples in turn, creating a huge set of three-example training sets.

This enables researchers to determine significant features in complex datasets, interrogate sample grouping, investigate data acquisition reproducibility, and classify unknown samples based on example training sets.

A subset of 41 600 conserved sites was then selected randomly from all conserved sites, to form a balanced set of 83 200 examples, which was divided into a 50 000-example training set and a 33 200-example test set.

In contrast, with the auxiliary training examples, the training set expansion methods appear to have largely overcome the problem.

The ANN used these examples as a training set in order to develop a predictive model to evaluate the refactoring solutions for the remaining iterations.

First assume that the examples present in the training set are linearly separable, i.e., a postulated function of the form f x,θ) = x θ provides a boundary surface that classifies all examples of the training set without errors.

It should be noted that the number of helical examples in the training set tended to be more limited for longer helices and thus resulted in fewer clusters.

It is shown that the only non-zero parameters α i pertain to the examples of the training set that lie exactly on the margin (the support vectors), i.e., are located closest to the separating surface.