Sentence examples for multiple source domains from inspiring English sources

Using this method, multiple source domains may be simultaneously identified.

The single source domain defined here can be extended to multiple source domains.

A unique aspect of this paper is the modeling of multiple source domains in a heterogeneous solution.

This HDA approach learns mapping functions to project multiple source domains and the target into a latent common subspace.

Yao [138] effectively extends the work of Dai [21] (TrAdaBoost) by expanding the transfer boosting algorithm to multiple source domains.

Nor does this characterization accommodate reasoning with multiple analogies (i.e., multiple source domains), which is ubiquitous in legal reasoning and common elsewhere.

Ensemble Learning via Feature-Space Remapping (ELFSR) extends these models by accepting multiple source domain data and creates an ensemble learning scenario.

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 Eaton [31] proposes to build a target learner based on a transferability measure from multiple related source domains.

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.