Sentence examples for av learning from inspiring English sources
Cortical regions exhibiting plasticity correlating with AV learning have been found in the posterior hippocampus, parietal, and dorsolateral prefrontal regions (Gonzalo et al. 2000) and the STS (Tanabe et al. 2005).
A few previous fMRI studies on cross-modal learning have assessed time-dependent activation changes during AV learning (Gonzalo et al. 2000; Tanabe et al. 2005) or changes in functional connectivity between unimodal cortices (von Kriegstein and Giraud 2006).
In effect, every Lyft vehicle in operation today, with a smartphone on the dashboard, could be commandeered to become a "camera" watching, surveying and mapping the roads that those cars drive on, and how humans behave on them, using that to help Lyft's autonomous vehicle (AV) platform learn more about driving overall.
Compared to a visually trained (V) group, the audio-visually trained (AV) group showed faster learning on visual trials across the ten training sessions, suggesting that multisensory training promotes more effective encoding of information and/or better retention of learning than unisensory training.
IPV-related resources included audio visual (AV) materials, texts and/or learning kits.
In particular, we first review related work on AVs and theories of learning.
We pursue two separate analyses: an analysis ofindependent variables, in which we tie each study to a particular guiding learning theory in an attempt to determine which guiding theory has had the most predictive success; and an analysis of dependent variables, which enables us to determine which measurement techniques have been most sensitive to the learning benefits of AV technology.
Moreover, MLP makes efficient use of its free parameters in learning non-linear AV relation, according to its hierarchical structure compared to shallow and wide structure of GMM.
A follow-up experiment evaluated whether unequal unisensory stimulus discriminability could explain differences in learning trends between the verbal-AV, novel-AV and shape-VV tasks.
Interactive algorithm visualizations (AVs) are powerful tools for teaching and learning concepts that are difficult to describe with static media alone.
