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这很清晰--如果模型能够区分它们,那么它们在某个时候就会在不同的集群中。
This is clear- if the model could differentiate between them, then they would be in different clusters at some point.
如果模型不适定,则会在数值模型中反映出来,并会在求解过程中出现问题。
If the model is not well posed, this will be reflected in the numerical model and will cause problems in the solution process.
总之,如果模型重复处理同样的位置,我们就会惩罚该模型(Seeetal.,2017)。
We only want to penalize the model if it repeatedly attends to the same location(See et al., 2017.
如果模型预测的值远远超出响应变量范围,这将立即显示较差的估计或模型不准确。
If the values predicted by the model are far outside of the response variable range, this would immediately indicate poor estimation or model inaccuracy.
例如,如果模型中有个名为Sale的类,那么数据库中对应的表就会默认命名为sales。
For instance, if there is a class Sale around model, the corresponding table around database is called sales by default.
例如,如果模型中有个名为Sale的类,那么数据库中对应的表就会默认命名为sales。
For example, if there's a class Sale in the model, the corresponding table in the database is called sales by default.
问题是,如果模型对自然的刻画不够好,那么由这些模型得到的结论就可能是错的。
The problem is, if the model does not emulate nature well, then the conclusions may be wrong.
如果模型不成立,那么假设模型为真的计算是无效的。
If the model does not hold, then calculations that assume the model to be true are not valid.
如果模型发生变更,则会通过推送或提取数据(发送或请求数据)更新视图来反映这种变更。
If the model changes, the view updates to reflect those changes by either pushing or pulling data(sending or requesting data.
因此,如果模型能够模拟此时观察到的水汽减少,这是一个好迹象,表明它们基本上是正确的。
Thus if models can simulate the observed decrease of water vapour at this time, it would be a good sign that they are basically correct.
如果模型具有更多隐藏单元(更高维度的表示空间)和/或更多层,则说明网络可以学习更复杂的表示法。
If a model has more hidden units(a higher-dimensional representation space), and/or more layers, then the network can learn more complex representations.
每个病人说话都会不一样,如果模型看到了变化,也许它会成为医生的一面旗帜,“他说。
Every patient will talk differently, and if the model sees changes maybe it will be a flag to the doctors,” he says.
如果模型可以达到人类级别的准确性,则由不正确的CAPTCHA提交产生的噪声将被屏蔽为正常的人为错误。
If a model can achieve human-level accuracy, noise generated from incorrect CAPTCHA submissions will be masked as normal human error.
(如果模型M不是传递事物而使其变得更加杂乱,因为M对什么意味着是“函数”或“集合”的释义可能不同于“外延”释义)。
(If the model M is not transitive things get messier, as M's interpretation of what it means to be a"function" or an"ordinal" may differ from the"external" interpretation..
事实上,我们可以说如果模型总是出现错误,那么可能因为模型本身发生了错误。
Indeed, one can argue that if the models constantly get something wrong, it is probably because the models are wrong.
如果模型是唯一的测试,它可能揭示了一个极端的人口,样品或者模型和极端错误。
If the model is the only test, it could be revealing an extreme population, and extreme sample or model error.
如果模型的预测?
What of the model predictions?
如果模型需要改进,请返回到第5步。
If the model needs refinement, go back to step five.
所以,如果模型不起作用,没有什么可担心的?
So, if the model doesn't work, there's nothing to worry about?
如果模型结构良好,则可以使用“不支持”选项。
If the model is well-structured, you can use the“no support” option.