[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2tyfSYx0digr6Aq-CFdhy-ymAHamXAIkhG1wo0o3XCE":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":29,"type":30},[],"2024-05-09 08:50:33",986807143,[8,9,10,11],"聚类","决策树","线性回归","朴素贝叶斯",{"courseId":13,"courseImg":14,"courseName":15,"workId":16,"workName":17},"1000076607","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fd7ea7086329261ddbccb0e9e00c955b1.jpg","[智慧共享课]人工智能引论","57250180","第四章单元测试","以下哪种方法不属于监督学习方法( )",[20,31,39,42,53],{"answer":21,"createTime":5,"id":22,"options":23,"question":28,"source":29,"type":30},[],986807096,[24,25,26,27],"被第t轮训练的弱分类器错误分类","被第t轮后的集成分类器(强分类器)错误分类","被到第t轮为止训练的大多数弱分类器错误分类","其他选项都正确","在Adaboosting的迭代中,从第t轮到第t+1轮,某个被错误分类样本的惩罚被增加了,可能因为该样本( )","v2",0,{"answer":32,"createTime":5,"id":33,"options":34,"question":37,"source":29,"type":38},[],986807121,[35,36],"对","错","无监督学习需要使用到数据的人工标签( )",3,{"answer":40,"createTime":5,"id":6,"options":41,"question":18,"source":29,"type":30},[],[8,9,10,11],{"answer":43,"createTime":5,"id":44,"options":45,"question":52,"source":29,"type":30},[],986807235,[46,47,48,49,50,51],"3","6","12","24","48","72","在一个监督学习任务中,每个数据样本有4个属性和一个类别标签,每种属性分别有3、2、2和2种可能的取值,类别标签有3种不同的取值.请问可能有多少种不同的样本?(注意,并不是在某个数据集中最多有多少种不同的样本,而是考虑所有可能的样本)( )",{"answer":54,"createTime":5,"id":55,"options":56,"question":57,"source":29,"type":38},[],986807288,[35,36],"线性判别分析是在最大化类间方差和类内方差的比值( )"]