Such non-specific speed-up of learning was found, for example, in [10], where subjects were trained on one motor learning task and transfer to another task assessed.
The idea here is to optimize the use of GPUs in hyperscale data centers — the kind of environments where you may use hundreds or thousands of GPUs to speed up machine learning processes — and to allow developers to take these containers to multiple clouds without having to make any changes.
Aggregations of aposematic prey are thought to increase the efficacy of the visual warning signals and speed up avoidance learning in predators (Gagliardo & Guilford 1993; Gamberale & Tullberg 1996).
The back-propagation learning algorithm with adaptive (or optimal) learning rate is used to speed up the learning.
The analysis shows that the proposed method is beneficial to handle the problem of "curse of dimensionality" and speed up learning in the unknown large-scale world.
A parallel implementation can greatly speed up learning and classifying tasks of the multi-class RF-ODT algorithm.
I would swoop in as super step mom and speed up the process of learning and cognition.
This simplifying assumption helps speed up the process of learning the network structure from the data, while the other allowed inter-dependencies still enable much of the structure of the problem to be captured (as demonstrated in the results).
By associating the new writing with figures and sounds you know you can speed up the process of learning a new alphabet.
This type of material has been shown to speed up learning in diverse contexts (Ward and Sweller, 1990; Chandler and Sweller, 1992; Mayer et al., 1995).
However, there is another possible way to speed up learning.
