Sentence examples for relevance label from inspiring English sources

This analysis measures the quality of a given independent variable (e.g., an indicator such as the number of visits) for predicting a target dependent variable (e.g., the relevance label).

The SVR method is similarly trained to predict the document relevance label, but it uses a regression model.

RankSVM was trained on document pairs, with the order of the pair derived from the relevance labels; those with the same relevance label are ignored.

We used documents annotated with the relevance labels as input to the machine-learning methods, and we trained the SVM classifier to predict the relevance label for each document and used these predictions for ranking.

For SVR training, we mapped the relevance labels to scores, from 0 (N ot relevant) to 3 (H ighly relevant).

Most previous work on learning to rank assumes that the relevance labels in the training data are reliable.

The fact that human agreement on a binary relevance judgment is quite modest is one reason for not requiring more fine-grained relevance labeling from the test set creator.

In our approach, supervised learning is performed taking advantage of relevance labels provided by users.

Prior to the evaluation of our approach, we conducted an Information Gain (IG) analysis ([Mitchell 1997]) in order to assess the importance of interest indicators for inferring relevance labels of documents for each user.

Direct utilization of them cannot guarantee the best performance in ranking applications as ranking information (e.g., relevance degree label) is absent.

Of further relevance, open label and pilot studies in patients with spinal muscular atrophy have suggested potential benefit with valproic acid (Weihl et al., 2006; Swoboda et al., 2009).