The support vector approach learns a parsimonious regression model from the given data to avoid the data over-fitting problem.
支持矢量回归方法可以在给定的资料中生成一个简洁的回归模式，以避免常规机器学习法中的资料过度学习问题。
Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.
同样，对于机器学习算法，一个通常的问题是过适合(原文为over - fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。
The result of practical application indicates that the performance of SVM has superiority over ANN and can overcome the problem of "over fitting" excellently.
实际数据处理结果表明，该方法在小样本情况下性能优于神经网络，可以很好地克服过学习问题。
The result of practical application indicates that the performance of SVM has superiority over ANN and can overcome the problem of "over fitting" excellently.
实际数据处理结果表明，该方法在小样本情况下性能优于神经网络，可以很好地克服过学习问题。
应用推荐