Sentence examples for multiple labeled from inspiring English sources

The paper by Chattopadhyay [14] proposes two separate solutions both using multiple labeled source domains.

In the model presented by Ge [40], there is a single target domain with limited labeled data and multiple labeled source domains for knowledge transfer.

The paper by Deng [25] applies transfer learning to the application of speech emotion recognition where information is transferred from multiple labeled speech sources.

In this solution, there are multiple labeled source domains and a limited labeled target domain for a total of K domains where all K domains share the same output label space.

The paper by Tommasi [114] addresses the transfer learning environment characterized by limited labeled target data and multiple labeled source domains where each source corresponds to a particular class.

The Kulis [58] approach is best suited for scenarios where all of the classes are not represented in the target training data as demonstrated in test 2. The problem domain defined by Harel [46] is of limited labeled target data and multiple labeled data sources where an asymmetric transformation is desired for each source to resolve the mismatch in feature space.

Similarly, record companies that own multiple labels often allow them to bid against each other, driving up prices, when collaboration would almost certainly save money.

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.

It is, therefore, crucial for carefully selecting a good strategy for learning with multiple labels.

Results indicated that the method could detect multiple labels with a match rate of 84.35%.

Consequently, ranking orders among multiple labels should be emphasized during the MIML learning procedure.