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。
The support vector approach learns a parsimonious regression model from the given data to avoid the data over-fitting problem.
该研究是以美国财团为基础的新生儿个体化发育支持性护理模式领导的国际项目，目的是建立一套常规做法来优化婴儿和健康。
The study came about through an international project led by the U. S. -based consortium NIDCAP, whose goal is to create a set of standard practices to optimize the health and well-being of neonates.
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