[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fFmk2EBtio1qNxGyyCAGB33IHm-xNJm-73Hfg30AUIkc":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-12-01 15:59:28",246894370,[8,9,10,11],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F89776c958b6074ee6727eac973a31cb8.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2980ef4e14453000f32f034176b4d18a.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7f63905012e1e3634e0fcd5ad9a65ab3.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb0a596d765f464db3e8898576c009c99.png\">",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},190,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","exam_168307189","人人爱设计","将样本映射到高维空间后,支持向量机问题的表达式为",[21,32,41,50,59,68,77,86,95,104],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],246894359,[25,26,27,28],"以上都是","寻找数据内在的分布结构","作为其他学习任务的前驱过程","帮助寻找潜在的概念或者类别","下面哪一项属于聚类的作用","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],246894360,[36,37,38,39],"泛化误差","训练误差","学习误差","经验误差","模型在&quot;未来&quot;样本上的误差被称作()",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],246894361,[45,46,47,48],"标记噪声","过拟合","欠拟合","数据少","剪枝是决策树学习算法对付什么现象的主要手段",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],246894362,[54,55,56,57],"聚类","分而治之","集成","排序","决策树学习的策略是什么",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],246894363,[63,64,65,66],"以上三个选项都不需要考虑","性能度量","比较检验","评估方法","为了说明模型在统计意义上表现好, 我们最需要考虑",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":30,"type":31},[],246894364,[72,73,74,75],"增加;降低","增加;增加","降低;降低","降低;增加","&quot;一对一&quot;相较于&quot;一对其余&quot;,存储开销(),测试时间开销()",{"answer":78,"createTime":5,"id":79,"options":80,"question":85,"source":30,"type":31},[],246894365,[81,82,83,84],"计算开销大","上溢","下溢","内存不足","极大似然中,若直接连乘,易造成什么现象",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":30,"type":31},[],246894366,[90,91,92,93],"100%","93%","90%","95%","Tufts医学中心引入机器学习技术后,人类专家阅读1000篇摘要,得到的系统自动筛选敏感度可以达到()",{"answer":96,"createTime":5,"id":97,"options":98,"question":103,"source":30,"type":31},[],246894368,[99,100,101,102],"在使用SMO时需要先推导出支持向量机的对偶问题","SMO需要迭代的进行求解, 且每一步迭代的子问题不存在闭式解","可以通过SMO进行高效的求解","可以通过常规的优化计算包求解","关于支持向量机的优化描述错误的是",{"answer":105,"createTime":5,"id":6,"options":106,"question":19,"source":30,"type":31},[],[8,9,10,11]]