Sentence examples for learning sampling from inspiring English sources

In our prior work on medical text classification, we have investigated and experimented with several active learning sampling methods and observed the need to predict future classification performance for the purpose of selecting the best sampling algorithm and sample size[ 10, 11].

In succession, the segmentation areas are modeled by a structural SVM as learning samples to achieve more effective online tracking.

We then obtained the corresponding discriminant functions through training a set of data from engineering examples as learning samples and evaluated their criteria by a back substitution method to verify the optimal properties of the model.

Totally, 174 patients were included in this analysis and named as "learning sample".

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.

Sugano et al. [1] take the cropped eye region as a point in a local manifold model and make gaze estimation by clustering learning samples with similar head poses and constructing their local manifold model.

A learning sample L n based on a random selection of n i.i.d.i.d

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.

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