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李佳芯和黎诺懿无缘演出《BB来了2》，改由马国明和岑丽香演出，而有份演出该剧的吴岱融，今午在微博贴了多张相，除了他﹑马明和香香外，还有商天娥﹑吴业坤﹑车婉婉﹑李国麟﹑龚慈恩和谭凯琪等；相中见马明和香香抱住可爱小女孩，吴岱融则说：「新剧BB大晒。」　　他们首先来到了法国，然后途径西班牙，在欣赏了一场精彩的斗牛之后，两人辗转前往瑞士，而此时，尚不知情的两人却遭到了伦敦警方的怀疑，怀疑他们是一宗银行抢劫案的嫌犯。在印度，福格救下了出逃的公主奥达，后者亦加入了他们的旅程之中。之后，三人横渡大西洋，轰轰烈烈的照着目的地赶去。福格能否在规定的时间内完成他的承诺呢？一位不速之客的意外到访，打破了神油店老板程勇的平凡人生，他从一个交不起房租的男性保健品商贩，一跃成为印度仿制药“格列宁”的独家代理商。收获巨额利润的他，生活剧烈变化，被病患们冠以“药神”的称号。但是，一场关于救赎的拉锯战也在波涛暗涌中慢慢展开......Zhao Mou and I were chatting with the woman in the small bedroom. The woman was sitting on the wall naked and covered. The hostess said about her childhood and said, "When will you leave, you go quickly, I won't call the police". I asked Wang Jiying what time it was, and Wang Jiying said it was faster. I asked the woman if she still had a car. The woman said that there seemed to be no car. I said I would stay here tonight. The woman also asked when we would leave. I explained that we would leave early. Fu had just finished taking a bath and was lying on the sofa on the south side of the living room. Zhao Mou and I were lying on the bed in the small bedroom. The hostess was sitting on the wall naked and covered with quilts. Wang Jiying was lying on the sofa on the east side. At about 1: 30, Wang Jiying called Zhao and I to the sofa in the living room. Wang Jiying said, "Fat man wants to sleep with that woman in his arms." I said you should go. Just a few minutes after Fu entered, the hostess's screams of pain came from the small bedroom. I ran in and looked at it. When I went in, I saw Fu Gang lying on the woman's body and being the master. I said keep your voice down, and then I left. When I left, I closed the door to him. As soon as I closed the door, the light in the small bedroom went out, and the sound of Fu Gang's master was still coming from the small bedroom.Some of the resources of this site come from the Internet. For the purpose of transmitting more information, the copyright of this site reprints belongs to the original author or the source organization. If the reprinted manuscript involves copyright issues, please contact us.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.台下，王世贞仰天长啸：父亲。