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To achieve this goal, a novel deep learning configuration called maximum margin multimodal deep neural network (3mDNN) is proposed to learn joint feature from different data views.
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach?
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We simulate a redundant robotic arm with a retina installed at its end-point and show how this agent can learn the configuration space of its retina.
As all elements are shared (black and white) it is not sufficient to learn the configuration of black with white.
If the participant was in the intentional learning condition, the experimenter also told the participant to "focus on learning the spatial configuration of the neighborhood.
Every time the positions of the choice patterns were swapped, they were also rotated by 180° to ensure that the bees were not learning a particular configuration of elements (See [17] for further details).
For the one striped wall probe, only the correct and incorrect stripe-white corners were compared to assess whether fornix lesions disrupt learning their structural configuration (i.e., stripe-white vs. white-stripe).
Intracerebroventricular injection of the selective mGluR5 antagonist 2-methyl-6- phenylethynyl pyridine (MPEP) had no effect on basal synaptic transmission but significantly prevented both long-term depression (LTD) elicited by electrical stimulation and LTD facilitated by novel object-place configuration learning.
There are several avenues for future work and specific challenges that need further exploration include differences in students' learning gains within configurations.
Simulated annealing is used within this work as a method for learning the best configurations of interval and general type-2 fuzzy logic systems to maximize their modeling ability.
Electrical stimulation of neural networks in a dish reveals analogous capacity for de novo learning in arbitrary configurations of stimulated neurons [ 75, 76].
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