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Learning results of the PCM Transfer Learning show an spectacular improvement over conventional Q-learning on the target task.
Learning results from multiple associations between simultaneous and consecutive sensor stimuli and is performed by a Dynamical Recurrent Associative Memory Architecture.
Learning results from peer interaction and feedback in an entertaining and low risk environment.
Will the responsibility for learning results begin to shift from doctor to patient?
Table 1 Competences and learning results Competences Learning activities Learning results Assessment activities 1.
It's easier to assess learning results about knowledge.
Table 2 Local regression transfer learning results for predicting personality across different-district datasets.
This supervised learning results in significant sensing time reduction and, hence, increased throughput.
Table 1 Local regression transfer learning results for predicting personality across different-gender datasets.
Figure 6 The learning results of set number in each face block.
Second, we analyze and explore learning results in terms of students' learning satisfaction and learning achievement.
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