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说完，将青鸾公主往肩头上一甩，跟扛麻袋似的，迈步就走。过去的已经过去了，想要挽回也不行了，月下会擦干泪水，以尽量好的状态，去迎接明天。故事描述特工处探员Ethan Burke来到乡村小镇Wayward Pines（即本剧剧名）寻找两名神秘失踪的联邦探员。他没有得到想要的答案，反而遇到了更多的问题。这个地方就像有某种魔力一般，Ethan距离真 相越近，就越丧失自我——就连他的性格都变了。他不得不面对可怕的现实：他可能永远无法活着离开这地方。 @TheTaoSong讲述埃利奥特和他们所有的森林朋友一个全新的冒险，Boog他决定自己旅行，一个酷似马戏团的灰熊，接管他的位置。 布格的朋友准备把他从俄国旅行马戏团带回家。一连串有趣的事情。For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.当然这是句玩笑话，这年头移民的生活更没保障了，自己也是携家带口的人，要移民连翘儿都不会干的。