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.
Of all American journalists, I think the most outstanding one is Haret Aban of the New York Times. Due to Aban's years of experience in China, his rather sophisticated treatment of people and his reputation as a Times, he has made quite a wide range of friends. He and Chiang Kai-shek's wife Song Meiling are also very close friends. He doesn't have to be like me. As a reporter of the Japanese News Agency, he has to be busy with the morning and evening reports every day. He just needs to pick up some important information and transmit it. So he is in an extremely advantageous position. Although I am in Shanghai, I have always been concerned about the U.S. Policy towards Japan and developments towards China, so I often exchange views and intelligence with Aban.
若是换做别人，传言的可能性和可信度将会大大降低，可是他偏偏就是尹旭的妻子，这个可能性无疑就会大大增加。
All kinds of halo (Xun Yu, Lu Zhi, etc.)
"Do you regret it?"
Canada: 55,000
动作电影天王张彻又一破格之作，以澎湃的爱国情怀重现“八道楼子”抗日英雄的传奇事迹。本片荣获第十三届金马奖优等剧情片奖。1933年，日军出动兵团两万，战车五十余辆，进攻“八道楼子”的据点。我军以寡敌众，死守“八道楼子”抵御日军进攻，血战五日五夜，终于失守。日军发现楼内，只有七具血肉模糊的尸体，为之肃然起敬，立碑“支那七勇士”之墓。张彻以张家班底成员：狄龙、姜大卫、傅声、陈观泰演绎这群无名英雄的动人事迹。他以功夫动作，融入大型战争中，炮火与肌肉结合得完美无瑕。“八道楼子”内，无名英魂的惊人意志，张彻用泣鬼神
//Return to the state of the original class
武松（王伟饰）在少林寺学艺八年回到家乡清河县，在回家途中救了阳谷县西门庆的妹妹—西门如兰（高海燕饰），西门如兰对武松一见钟情，武松却因此与清河县恶霸李五结了仇。武松与哥哥团聚后，去张员外家做护院，遇到了潘金莲（傅艺伟饰），潘金莲是张员外家的使女，因生的美丽，张员外要强行霸占潘金莲，武松看不过，把张员外打的昏死过去，武松以为出了人命，离开了清河县。张员外为了报复武松和潘金莲，把潘金莲嫁给了武大郎。武大郎和潘金莲无法在清河县立足，不得不搬到邻县阳谷县。偶然的机会，漂泊在外的武松知道了张员外没有死的消息，武松兴冲冲的赶着回家。武松路过阳谷县景阳岗时，打死了景阳岗上的老虎，为民除了一大害。阳谷县知县因为武松打死了老虎，留武松在阳谷做都头。武大郎和武松兄弟二人又在阳谷团聚。潘金莲和武松相见，欲哭无泪。西门如兰悄悄的爱上了武松，经常去找他，这引起了潘金莲的嫉妒，潘金莲难以控制自己，不顾嫂嫂的身份，向武松表白自己的爱情，被武松拒绝，潘金莲羞的无地自容。西门庆（张子健饰）因强迫桂花和秦客商闹翻，西门庆下
在人类的心理状态和性格倾向都能被数值化的未来。所有的感情、欲望、社会病态心理倾向等全部被记录并管理，大众以“好的人生”作为目标，竭力于数值性地实现它。
你告诉她，我绝不会破坏你们的姻缘，我只望着你好。
219. X.X.10
Due to the characteristics of weightlifting:
我先拿去给黄瓜瞧瞧模样，回头再还给你，凭你给谁去。
25集都市情感大戏，《幸福就好》，张丹峰、刘芊含、刘 佳、黄小娟联袂出演，带你找到幸福的答案。省台首席记者刘岚朵在结婚前夕，得知相恋八年的律...
徐宝堂对含雪的宠爱让妻子柳桂芝和大女儿徐茹蔓大为不满。十五年后，随着一个神秘乞婆的出现，含雪的人生变得扑朔迷离。她一直深爱着青梅竹马的叶知秋，但姐姐徐茹蔓也钟情于叶，其母精心为女儿徐茹蔓设计了一场“姐妹易嫁”的好戏，含雪莫名被刺。后被慕名徐宝堂字画和收藏而来的日本教官井上健带入皇宫，含雪在宫中将砍竹、修竹、剖竹、煮竹、熨竹到制扇的所有工序都熟记于心。她还冒着被惩戒的危险潜入扇子库房，博览西洋贡扇、历代名扇及各类
如意一家生活在这个美丽的山村，过着并不富裕但幸福的生活。她与婆婆玉春之间的关爱与疼惜令人羡慕，两个儿女活泼可爱，聪明伶俐，一家人和和乐乐。
IsPersist
送进新人居处——东面竹院，有当时摆出来的，也有收进库房的，色色都安置妥当了。
