得知是赵高的人就好说了，显然这是秦军的作为，目的显而易见。
求婚仪式也很特别，翔太把N多本推理小说摆成多米诺骨牌。唉，又甜又虐，编剧为啥把菜奈写死！！
25. Code: Correction (garbled code).
This is the thinking of the poor-ignoring the major changes that may or will happen at any time around them.
太粗暴了，这哪里是文人该干的事。
《设得兰谜案》第四季已获得预定，依旧由Douglas Henshall主演，预计于2018年播出。第四季由David Kane担任主要编剧，将会延续第三季的模式，用六集篇幅讲述一个完整的案件。
咱们家下人也不能太少了。
贞由黄毛小子变成一帮之主后地位超然，与其一直暗恋的京剧名伶柳菊池距离拉近了，池却未能摆脱抗拒以帮会份子为对象的心态。但经过了多番生死与共的经历，贞和池终不能压抑自己的感情，二人放开怀抱，走在一起。
戚继光跟着紧张起来：叔大明示。
Brothers Samuel and Beckett Emerson are barely scraping by. Their father, Warren, continues to gamble and drink away any money they bring home. With all the havoc that is constantly going on in their lives, the family members each find solace in his own way, through Shakespeare, comic books and impossible love affairs. Beckett seizes the opportunity to make some easy money by counterfeiting in hopes of repaying his father's debts. When Beckett's plan goes awry, the family must decide to change their ways or pay the ultimate price
君意如何？曹邦辅我也不太了解，俞大猷却是成名已久，与倭寇数得上来的作战中皆有他的名字。
张丽纱Yeesa（吴海昕 饰），2月29日出生的平凡少女。 2017年，Yeesa于2月28日为自己庆祝生日，在11时59分一刻，竟然穿越时空，来到天寒地冻的北海道，过程中遇上和她未来命脉相连的两个男人－马智浩Ryan（徐天佑饰）与余家聪（刘俊谦饰），两个香港男生都不约而同地声称与她相识。 24小时过去，Yeesa穿越回到香港，现实却只过了一秒钟。 Yeesa发现自己的穿越能力不由自主，而她竟然在现实里重新认识Ryan及家聪……命运的齿轮在静静地转动着……
潘粤明饰演的谢家大少爷谢伯民虽然表面上是一副吊儿郎当、纨绔子弟的地主少爷模样，但其实是一名共产党员。他对颜丹晨饰演的春芍可真是痴心一片。春芍原本是要被父亲抵债嫁给谢伯民的，后来被土匪劫走，谢伯民不惜拼了命的去救。
现在我们启明，签约作者已经有一千多人，一级作家占了百分之八.九十，二级作家有196人，三.级作家47人，四级作家5人，五级作家暂无，名家估计就只有老板一人。
It should be noted that lockers in many busy stations are sometimes hard to find, such as Nagoya Station and Rong Station, so everyone should do what they can when traveling.
到了平成第二期，经过《Decade》对TV版进行档期调整后，第二期作品确立了各个剧场版的档期概念，除了作为新骑士刚刚开始播出时间的秋季档不上映剧场版外，原则上每年的三个季度都上映对应的剧场版系列：冬季档上映MOVIE大战系列→平成世代系列剧场版；春季档上映电王衍生系列→超级英雄大战系列剧场版；夏季档上映骑士专属剧场版。
吕文心的办公室中，打印机唰唰的响，然后一张张布满文字的纸从打印机中出来。
一群喧闹的大学生来到了人迹罕至的小树林里，这五个朋友准备在这里度过一个放纵、开心、难忘的周末。根据指示，他们找到了位于树林深处的一个小木屋，准备在这里开始自己的派对。
Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.
