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国家地理迷你剧《The Long Road Home》是根据Martha Raddatz所著的畅销书改篇，背景在伊拉克战争，讲述在2004年4月4日一支由德州胡德堡而来的美国陆军第1骑兵师，在巴格达萨德尔城里遭到猛烈伏击，并造成8人 阵亡的「黑色星期日/Black Sunday」军事事件。这剧会聚焦在身陷现场的士兵，以及于德州等待了48小时消息，甚至已有最坏打算的家人。Ouyang Kerui, employee of Guangzhou Branch of China Tower Co., Ltd.: We are working to meet the needs of the three major operators in the early stage of infrastructure construction. We can use time to say that we are racing against time.Extended Data:EventPool []她从未像现在这样深刻认识到门第差距意味着什么，这绝不是简单的贫富落差，或者地位落差，她也不是嫌贫爱富的人。随即一场战略策划回忆展开，刘盈虽然为储君，可是年纪幼小，大事情无疑将会有王后，应该说是太后吕雉掌管。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.