Although regression analyses indicate that virtual presence positively influences trivial- and non-trivial learning outcomes, learners who learned in a low-immersive environment outperformed the gaming group.
A mediation analysis showed that the relation between virtual presence and non-trivial learning outcomes is partly mediated through increased cognitive load.
In addition, using OMM requires learning to work with GATE, which has a non-trivial learning curve.
We first motivate and formalize this model of "superfluous-value blocking", and then demonstrate that these omissions can be useful, by proving that certain classes that seem hard to learn in the general PAC model viz., decision trees and DNF formulae are trivial to learn in this setting.
In recollections that are light without being trivial, we learn of their feelings for their husbands, their opinions of the country and their plans for the future.
One of the simplest, yet non-trivial, stochastic learning models is obtained when considering.
Nowhere is that more obvious than in the process of fact-checking, in which it is trivial for machine learning agents to surface possibly dubious links or articles, but at this stage pretty much impossible for them to do any kind of real evaluation of them.
The small number of training examples is not trivial for machine learning and, in particular, is harder to handle in a sparse data type such as text documents.
By devoting all of his energy to whatever he was doing, the counsellor said, no matter how trivial, he could learn to direct his attention away from his fears and worries.
It is non-trivial to link learning and movement data because both the learning scenario and the movement tasks must be designed from the very beginning to yield meaningful and capturable constructs predicted to alter.
