神秘博士第五季
金烔完饰演超快速升职的传说，Handas的明星，姜白虎！ 作为充满热情，积极向上勇往直前的男人，是把加班当兴趣，假期工作当放松的工作狂。太过独自出类拔萃，所以频频和同事们发生冲突。 在前 辈们眼里是一个独自超前的眼中钉。 而一同工作的后辈们则对于过于热情的他感到很负担。 这样的姜白虎成为了营业企划部的新成员… 姜白虎，他究竟是Handas的“救援者”还是“屠夫”？ 在同事们一致持怀疑态度的情况下， 他成为了领导赌上部门命运项目的队长。 究竟Handas营业企划部的命运是？
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古朴而神秘的吴家村位于湘西雪峰山深处。村民敬神信巫，生活平静。
"The first few hours of the battle were the same as before, We use all kinds of weapons in our hands in our positions. Strike the attacking Vietnamese troops, The exchange of fire was very intense, The front of the position was covered with the bodies of the Vietnamese army. We also have a lot of wounded on our side, However, after all, it is based on strong fortifications. More wounds, less deaths, In particular, the wounded are mainly minor, All of them can continue to fight without getting off the line of fire. At that time, my monitor was quite happy. If you play like this, There's not much pressure to hold position 149, The Vietnamese army that could fight could not even get close 400 meters away from the front of the position, As a result, it was only over an hour after he said this. I remember it was one or two o'clock in the afternoon. Something is wrong, The left and right wings of the position, It's two sparse rain forests, The positive was the same, But before the war, in order to facilitate the offensive forces to assault, All of them have been cut down by Vietnamese troops, But it also broadens our horizons, However, it is still unclear what is going on in the rainforest on both sides. Just when something was wrong, First I heard a "buzzing" sound inside, At first it was a little bit, Later it grew bigger and bigger, At last it was so big that it could almost cover the shot when it was fired. No one in our position knows what's going on, All of them stretched out their heads and looked in the direction of the sound. When the "buzzing" sound reached its peak, they saw that a large area of flying insects flew vertically from the rainforest on both wings. If the number were small, whether the sound or flying insects could not be heard or seen at this distance, but now they could hear clearly.
The life of Li Yu, the Latter Ruler of the Southern Tang Dynasty, was full of legends. He once became an enviable emperor. However, his fate was very difficult. Facing the pressure of soldiers in the Song Dynasty, the small country in the Southern Tang Dynasty was in danger. Just when he was worried, his beloved wife died of illness after a week. Li Yu's life suffered a double blow and was immersed in deep pain. At this time, a frank and lovely young woman broke into his life, making him realize the best love and true feelings in the world at the low point of his life. This woman also became the last heroine in his life, which has been handed down to this day with Li Yu's poems. (Lecture Room 20160309 Poetry Love 6 Teach Your Own Wanton Pity)
《露露and猪猪》通过音乐语言及动画语言，讲述了一个露露公主和猪猪为了解救被女巫施了魔法的音乐小城，勇敢面对困难，相互支持、相互帮助、最终打败女巫,还小城欢乐与生机的故事……海量视频尽在CNTV动画台。
哪两个人。
电影一直与阳春白雪相关，似乎很少有人把它与下里巴人联系在一起。可河南某小镇某小村，却发生了一件事，让电影与下里巴人进行了一次对接。村里的电影放映员蔡有才（李易祥 饰）一直有一个梦想，那就是亲自拍一部电影。这不是闹着玩的，有才果真开始实践起了拍电影之梦。围绕着鬼子进村的主题，有才开始寻找演员，构造场景，可这些非专业出身的演员和资金的限制，让片场状况百出也笑话百出，经过各种磨难，有才还是咬牙坚持了下来。
40年代的美国，“教父”维托·柯里昂（马龙·白兰度 饰）是黑手党柯里昂家族的首领，带领家族从事非法的勾当，但同时他也是许多弱小平民的保护神，深得人们爱戴。
N市地痞李阳“阳哥”兄弟睡了另一地盘何流“流哥”的女人慧慧后遭到追杀导致阳哥措手不及损失惨重，慧慧趁其不备消失不见！无奈之下求当地实力雄厚的三爷支持他东山再起三爷答应，并告知李阳一个天大的隐情——一场重大的阴谋正慢慢的袭来——是兄弟还是仇敌？是忠诚还是背叛？
Interview.prototype.init = function () {
吴彦祖主演美剧《荒原》第三季获得AMC续订，第三季将增加到16集，2018年开播。
Six fairies
我叫阿多拉，霍曼的亲妹妹。我是水晶城堡的保护者。这，是顺风马，我的坐骑。有一天，我获得了奇迹般的秘密，当我抽出剑说道：“赐予我力量吧……SHE-RA，SHE-RA，SHE-RA，SHE-RA，SHE-RA，我是希瑞……”。只有几个人知道我变成希瑞的秘密，他们是希望之光，拉兹夫人和考尔。我和起义军的朋友们一起，为解救以希利亚，与罪恶的霍达克进行着战斗。（北视版开场白） 嗨，你们好，我是露姬，今天发现我藏在什么地方了吗，如果没有再看一遍……看见了吗，我在这儿呢……（结束语）
苞谷早上睡得迷迷糊糊的时候，被抱上了车。
这是一个关于梦想、关于友谊、关于爱情的故事。 在贫富悬殊、就业严峻，物价高企，打工无期，爱情失信，创业受阻，但经济却高速发展的当代中国社会背景下，海归御姐高高（高高 饰）遭遇下岗、失恋、逼婚多重失败，一气之下逃到了发达的南方大都会，并在这个光怪陆离的城市里决意要开创属于女神的时代，做有态度的女神，用青春的力量改变世界。然独立创业的道路并不好走，革命尚未成功，而梦想、友谊、爱情却不断受到严峻的考验……
三个刚踏出校门的年青人，面对事业、爱情的挑战，三人一面在事业上互相竞争，尽显少年人初出茅庐的朝气斗志，另一面，三人又互相支持，追求爱情上理想对象，闹出不少情场笑话。在苦乐参半的青春道上，印证了年轻岁月的纯真友谊。
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.
