Sentence examples for spread labels from inspiring English sources
Li et al. [20] proposed a tree-based algorithm which uses the K-means to spread labels at the leaves of a tree.
Theories that spread labels to group features into objects should also provide a mechanism for these labels to be read out by brain regions involved in response selection.
Moreover, the results show that the present spreading label technique can be used successfully in other supervised learning algorithms to support semi-supervised classification.
Future work includes testing the proposed algorithm with more data sets and comparing to other algorithms with their own spreading label method, as well as comparing the accuracy of the optimal graph as a transductive method against other transductive ones.
In order to learn from labeled and unlabeled patterns, here we adapt the optimal graph construction to simultaneously spread the labels in the training set.
While it may have been a hoax, the horror felt by the shopper spread, more labels were found, and the story became a national concern that has tied the Primark PR department up in knots.
Notice that the present algorithm not only can construct the K-associated optimal graph, but also, by doing so, can spread the labels throughout the whole training set.
In the development of semi-supervised learning algorithms, many efforts have been made on the use of a clustering algorithm to group the patterns and further spread the labels.
After some well-received 12-inch drops on a worldly spread of labels like Church, 1080p, and Shall Not Fade, the young producer has pulled a fast one with a free-download bootleg of Kanye's TLOP album track "Father Stretch My Hands".
This is an example of "diagnostic substitution" — as information on new autism classifications has gradually spread, the label "autistic" has been used more commonly for children who previously would have been labeled something else.
Transductive learning performs the classification spreading the labels from labeled to unlabeled data in a corpus.
