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一个出生在知识分子家庭里被娇惯长大的少女；一个将梦想和未来寄托于丈夫以至于毫不吝啬付出的妻子；一个生活中与婆婆、小姑子摩擦不断但最终仍对她们不离不弃的儿媳；更是一个为了孩子彻头彻尾改变自己一切的母亲　薛丹仁是名普通警员，但他却非等闲之辈，因他在玄学上深得外公真传，每次在关键时刻，为许多奇案破解谜团，加上黑白通吃的好友梁醒裘作线人，其出众的作风常令上司车季菲啧啧称奇。车季菲拥有犯罪心理学专家资格，事事只凭理性，二人看似南辕北辙，却因合作逐渐有了默契，但车季菲一副管家婆样，工作以外只关心妹妹车季美和弟弟车季君的终身大事，当车季美陷入梁醒裘和下属铁良芷的三角关系时，车季菲情绪失控，幸得薛丹仁出手相助。此际，城中发生连环失踪案，诱拐手法勾起了薛丹仁隐藏多年的往事……红椒牵着玉米走到张老太太身边。12. Is it better to find a decoration company or to be private-shortcomings of the decoration company英王急忙派出几名军士，按两人说的方向去找白鹤。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.