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And does the model allow heterogeneous learning (different agents may follow different learning strategies)?
The findings demonstrate that collaborative heterogeneous learning has two sides that need to be balanced.
This paper uses data from the longitudinal study "Aspects of learning background and learning development".
Dai et al. [37] proposed a method for heterogeneous transfer learning called Translated Learning via Risk Minimization (TLRisk).
Hence a theoretical sampling strategy (i.e., individuals who would have a perspective on the topic were selected because they were involved in heterogeneous group learning and came from different backgrounds) was employed.
The population is comprised of heterogeneous ethnic backgrounds from every region of the country.
In addition, the analysed interventions were carried out on small populations with heterogeneous backgrounds, and the identified publications were clinically heterogeneous.
Specifically, heterogeneous transfer learning has been recently studied as it broadens the application of current transfer learning methods.
But prey with dazzle markings were also difficult to catch, particularly when they moved at higher speeds and against more heterogeneous backgrounds.
There are many applications where heterogeneous transfer learning is beneficial.
The previous surveyed heterogeneous transfer learning works demonstrate many different characteristics and attributes.
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