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CBS的多镜头喜剧《The Great Indoors》，讲述一名杂志的户外记者必须调整好自己，因为他被指派到杂志中的网上部门，而手下都是一群千禧一代的员工。 Joel McHale扮演风趣幽默的《室外奇兵》杂志明星编辑。是个野外生存里男人中的男人。他经常攀爬山岳，与熊 搏斗，最求刺激冒险的生活。但是他受伤了，被迫派到了出版社的数码及社交媒体部门，在室内工作。身边同事都是年轻人，让他感觉到自己是外星来的或者是古代穿越来的。Read the annotation or configuration file, see which Source JuiceMaker depends on, and get the class name.　　他害怕真正的自己不适合像Gilayn这样完美的人,这就是为什么他要保密...《忠孝节义》，2017年文化部旗舰型电视剧补助的杨丽花歌仔戏，历经四年的前置筹备与拍摄，将于2019年9月24日在台视首播。原来，刘家虽然一直有跟张家结亲的意思，泥鳅娘却不大乐意，可又不敢违了公婆和男人的意思。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.