[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fraB25M_6-8zlkHCp4DtM5U1CHYhJuub11RempZLm_qo":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":30,"type":31},[],"2025-05-06 08:14:13",185805461,[8,9,10,11],"泛化误差","经验误差","学习误差","训练误差",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":16},85,"fc0c1d00e84a5bdd920ca3eef531981e","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffb47e65ee6bbb8f896e6b4fca1783b07.png","机器学习初步","exam_155114367","模型在"未来"样本上的误差被称作()",[20,32,41,50,59,68,77,80,89,98],{"answer":21,"createTime":22,"id":23,"options":24,"question":29,"source":30,"type":31},[],"2025-05-06 08:14:12",185805449,[25,26,27,28],"对每个样本 x 选择能使后验概率 P(c∣x) 最大的类别标记","对每个样本 x 选择能使后验概率 P(c∣x) 最小的类别标记","对每个样本 x 选择能使条件风险 R(c_i∣x) 最大的类别标记","对每个样本 x 选择能使条件风险 R(c_i∣x)最小的类别标记","以下哪个选项是对贝叶斯最优分类器的描述","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],185805451,[36,37,38,39],"优化目标是凸函数","具有闭式解","可以使用梯度下降法求解","优化目标连续可微","在求解对率回归时,下列哪个选项不是极大似然法的优势",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],185805453,[45,46,47,48],"1956","1966","1979","1993","第一篇关于决策树的工作在哪一年发表的",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],185805455,[54,55,56,57],"数据","某种类型假设","标记","运行速度","归纳偏好指机器学习算法在学习过程中,对以下哪个选项的偏好",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],185805457,[63,64,65,66],"降低;降低","降低;增加","增加;降低","增加;增加","后剪枝的测试时间开销(),训练时间开销()",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":30,"type":31},[],185805459,[72,73,74,75],"训练集;需要","训练集;不需要","验证集;需要","验证集;不需要","我们通常将数据集划分为训练集,验证集和测试集进行模型的训练,参数的验证需要在()上进行,参数确定后()重新训练模型",{"answer":78,"createTime":5,"id":6,"options":79,"question":18,"source":30,"type":31},[],[8,9,10,11],{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],185805462,[84,85,86,87],"1940年代是神经网络萌芽期,代表工作为感知机","1956年-1969年是神经网络研究冰河期,Minsky发表了Perceptron","1984年-1997年是繁荣期,代表工作为Hopfield和BP算法","21世纪以来,神经网络进入深度学习时代","对于不同时代对神经网络的研究以及代表工作说法正确的是()",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],185805464,[93,94,95,96],"无序的离散属性","连续属性","有序的离散属性","以上都对","示例的属性可以属于下列哪个类别",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],185805466,[102,103,104,105],"较高的簇内相似度","较低的簇内相似度","较大的簇间距离","和某个参考模型的结果相似","一个好的聚类可能存在的特征通常不包括"]