Sentence examples for multiple labels and from inspiring English sources

Shao, Z., Hirayama, Y., Yamanishi, Y. & Saigo, H. Mining Discriminative Patterns from Graph Data with Multiple Labels and Its Application to Quantitative Structure-Activity Relationship (QSAR) Models.

With decades of releases, multiple labels and a furious touring schedule all pumping out his spiritual house jams, he weaves disco, funk and soul from around the globe into groove- rather than rhythm-led sets that have garnered him warm affection.

In this section, as a within-network classification task, we focus on performing multi-label node classification in networks, where each node can be assigned to multiple labels and only a few nodes have already been labeled.

Step 4: Combine n groups of results to obtain the forecast result of multiple labels and assess the forecast results according to multiple label evaluation criteria.

This problem is a hierarchical multilabel classification (HMC) problem, as a given gene can be annotated with multiple labels, and the set of labels have a hierarchy associated with them.

A key purpose of this study is to explore how individuals who bear multiple labels and identities of oppression including being homeless, an immigrant, a racialized minority, and having a mental illness, navigate stigma and discrimination – and what affects their capacity to do so.

This platform couples high throughput data collection involving multiple labelling and analysis with de novo map assembly [ 15].

The tools established in our laboratory (eg, micrometastatic cell lines, single cell (RT PCR, multiple labelling, and FISH) allow one to obtain further insights into the phenotype and genotype of therapy-sensitive and resistant micrometastases.

Bound primary antibodies were visualized by indirect immunofluorescence using affinity-purified antibodies specifically prepared for multiple labelling and conjugated with fluorescein (FITC), Rhodamine Red-X (RRX) or Cyanine 5 (Cy5) (Jackson ImmunoResearch Laboratories Inc., West Grove, PA, USA).

However, in many real-world problems, data instances are usually associated with multiple labels simultaneously, and multi-label learning is increasingly required in many modern applications.

For example, a customer data in a tour company may have multi-valued attributes such as the cars, the hobbies and the houses of the customer and multiple labels corresponding to the tours joined before.