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Thus, it is important to understand the applicable conditions of the target tasks.
To find the best hardware design for the target tasks, both hardware and software architectures need to be considered simultaneously.
Transductive transfer learning, in contrast, the target domain is different from the source domain, while the source and target tasks are the same.
In terms of inductive transfer learning, the source and target tasks are different, no matter when the source and target domains are the same or not.
The candidate teachers choose tasks which they think are relevant to their own lessons because the target tasks are determined by the pedagogical approach each teacher adopts.
Efficacy was evaluated in terms of whether training achieves learning objectives and whether the attainment of those objectives enhances real world performance on target tasks.
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The learning results on the source task are used as the starting point for the learning on the target task.
Learning results of the PCM Transfer Learning show an spectacular improvement over conventional Q-learning on the target task.
Learning experiments in the target task are realized over an accurate but computationally expensive simulation of the hose dynamics.
Strategic (control) knowledge typically specifies how a target task is solved.
This approach results in a processor that executes the target task in fewer cycles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com