剧中女主角Eaum（Noon）出生在一个富裕的家庭，有一个深爱的男友Aam(Vee)，然而，Rinladaa (Chompoo)进入了他们的生活，并开始编织谎言、制造误会， Rinladaa是一个充满野心的女人，她嫉妒Eaum 拥有的一切，所以她千方百计的要夺走她的家庭，她的财富，甚至她的恋人Aam. Rinladaa总带着一副无辜的面孔和表情，但心里充满了嫉妒和邪恶。Eaum想拆穿、揭开她的真面目，但没有人相信她。Rinladaa彻底搅乱了Eaum的生活，她设计使Eaum和Aam分开,令Eaum被未婚夫抛弃,家破人亡。Eaum感到深深的绝望和痛苦，她决定不惜一切代价展开报复，让Rinladaa尝尝失去亲人爱情的滋味…
探子吩咐道：一队人去除掉他们，完事之后前去烧毁越军的粮仓，以大火向大王示意，然后全力攻击南门，打开缺口，迎接大军入城。
(a) Strictly implement the medical security management regulations and agreements;
A strange hunt that has never been seen before or since.
Command mode belongs to the behavior mode of an object. Command mode encapsulates a request or operation into an object, and separates the responsibility of issuing the command from the responsibility of executing the command through abstraction of the command. The implementation of command mode can provide the functions of revocation and recovery of commands. The specific structure diagram is shown below.
The following settings interface
十八线女星王美琪在《医妃难囚》中饰演的角色闫倾城为何离奇出逃？一切都要从一场营销造假事件说起……
攸伦·葛雷乔伊（皮鲁·埃斯贝克 Pilou Asbæ 饰）将黄金团带至君临获取了瑟曦（琳娜·海蒂 Lena Headey 饰）的信任，而实际上，他已经与无面者贾昆·赫加尔（汤姆·拉斯齐哈 Tom Wlaschiha 饰）私下达成了秘密协议。
大苞谷冷笑道：让他们押。
作为艾恩斯·乌尔·戈恩魔导国的国王，如何引导这个国家呢。
本剧讲述了从上流家庭逃出来的奇怪少女徐春和优等生韩仁尚因未婚先孕，使得平凡人家的女孩嫁入豪门后引发出的的一系列矛盾与混乱的故事。
一次意外撞车，陈重结识了叶梅。
Opponents continue to use new inputs/payloads to detect classifiers in an attempt to evade detection. Such payloads are called antagonistic inputs because they are explicitly designed to bypass the classifier.
红椒也依偎到外婆身边，见问这个，就想跟她说学堂里的情形。
曼尼库内尔·伊蒂曼尼是一位著名的中国武术教练的儿子，他是一个鲁莽的人，总是陷入麻烦。
Netflix推出的芬兰剧，一位才华洋溢的干探为了能够有更多时间陪伴家人而选择留在小镇工作，然而，他却不其然被卷入一连串令人困扰的谋杀案
现在想来，的确是自己棋输一着。
……八点多钟，好人陈启从家里动身。
/cry
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.
