(8)___ culture differs from area to area,one thing is for certain:Cultures change. "Culture plays(9)___ important role in our interconnected world," De Rossi said. "But it is no longer fixed.Culture is (10)___ (constant) moving and essentially fluid."反馈 收藏 ...
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65.___fashion differs from country to country may reflect the cultural differences from one aspect.66.John has not yet passed the driving test,and neither ___Henry.67.There___ (come) the school bus.Hurry up!68.Only after they had discussed the matter for a few hours___ they reach a...
(1) A differs from B in that… (A不同于B在于……) 例:She differs from her sister in the colour of her eyes. 她眼睛的颜色跟她姐姐不同。 (2) ...varies from person to person (……是因人而异的) 例:The opinion of the problem varies from person to person. 对这个问题的看法是因人...
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To show how English grammar differs from Cherokee grammar.C. To prove that complex grammar structures were invented by the Cherokees.D. To demonstrate how difficult it is to learn the Cherokee language.2. What can be inferred about the slaves' pidgin language?A. It contained complex grammar....
Compared to other DL-based approaches to recommendation, DLRM differs in two ways. First, it computes the feature interaction explicitly while limiting the order of interaction to pairwise interactions. Second, DLRM treats each embedded feature vector (corresponding to categorical features) as a single...
Most OSes -- and their kernels -- can be traced back to Unix, but there's one outlier: Windows. With the popularity ofDOS- and IBM-compatible PCs, Microsoft developed the NT kernel and based its OS on DOS. That's why writing commands for Windows differs from Unix-based systems. ...
Reinforcement machine learning, like unsupervised machine learning, uses unlabeled data sets and allows algorithms to evaluate the data. However, reinforcement learning differs in that it’s working toward a set goal rather than exploring data to discover whatever patterns might exist. With an objective...
where the model trains itself by calculating errors from its output layer to its input layer. These calculations allow us to adjust and fit the parameters of the model appropriately. BPTT differs from the traditional approach in that BPTT sums errors at each time step whereas feedforward networks...