We will present the well known phenomenon of the curse of dimensionalityand show that, when the dimensionality of the inputs is high, the numbers of units and samples that are needed to guarantee good results are huge, unless we impose some restrictions o
We will present the well known phenomenon of the curse of dimensionalityand show that, when the dimensionality of the inputs is high, the numbers of units and samples that are needed to guarantee good results are huge, unless we impose some restrictions o
课中将描述知名的「维度困扰」现象并显示输入的维度极高时，除非我们限制待以估计函数的等级，否则保证满意结果之单位与範例数目将极为庞大。