Kernel Canonical Correlation Analysis (KCCA) is a recently addressed supervised machine learning methods, which is a powerful approach of extracting nonlinear features.
针对该问题，采用核典型相关分析方法进行原始特征的二次提取，得到简约而重要的二次特征。
The method of product feature extraction and analysis can be divided into supervised machine learning methods, semi-supervised machine learning algorithms and unsupervised machine learning algorithm.
产品评价对象的提取与分析的方法主要分为有监督的机器学习方法、半监督的机器学习算法、无监督的机器学习算法。
Lattice machine is a novel approach to supervised learning.
格机是一种新颖的有监督学习方法。
That's a very active area of machine-learning research, but it's not a solved problem to the extent that supervised learning is.
这是机器学习研究的一个非常活跃的领域，但目前研究的进展与监督式学习还是不能比拟的。
That's a very active area of machine-learning research, but it's not a solved problem to the extent that supervised learning is.
这是机器学习研究的一个非常活跃的领域，但目前研究的进展与监督式学习还是不能比拟的。
应用推荐