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Short title: Blended learning for quality higher education: selected case studies on implementation from Asia-Pacific; 2016; Author: Lim, Cher Ping; Wang Libing; UNESCO Office Bangkok and Regional Bureau for Education in Asia and the Pacific
In 2010, a scientific study found that a small percent of the population appeared to be much better at multitasking than others, and these people were subsequently labeled "supertaskers". [41] In 2015, another study supported the idea of supertaskers. This particular study showed that they tested people by making them drive on a driving ...
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Recent studies highlight the potential for speed-ups in the optimization of engineering design parameters by conducting related designs jointly in a multi-task manner. [10] In machine learning , the transfer of optimized features across related data sets can enhance the efficiency of the training process as well as improve the generalization ...
Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks.
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