... 数据融合 过拟合[gap=1743]ey words: emotional speech synthesis; prosody model; data sparsity; data fusion; over-fitting...
基于26个网页-相关网页
Experimental results show that the trained parameters gained from above strategy are highly accurate,therefore this method can decrease the phenomenon of over-fitting and improve the knowledge representation capability of FPRs.
实验结果表明,该方法能够有效优化参数,一定程度上避免过度拟合,提高了FPRs的知识表示能力。
参考来源 - 基于Pareto强度值演化的FPRs知识表示参数优化 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
And I'd say this knowledge is over-fitting to past data.
我认为这方面的知识过适于过去的数据。
And a data savvy organization must understand the cost of over-fitting.
一个具有数据头脑的公司必须知道过拟合成本。
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。
应用推荐