Learning the machine subject has important practical value.
研究机构学具有重要的实用价值。
SVM is the hot issue accompanying artificial neural network in machine learning. It involves any practical problems such as classification and regression estimation.
支持向量机是继神经网络后机器学习的热点研究技术,它主要应用于分类和回归问题中。
So a novel promising machine learning technique specifically developed for analyzing little amount of samples, SVM (Support Vector Machine), will be more suitable in practical industrial application.
因此在实际的工程应用中,支持向量机(SVM)作为一种新型的小样本建模分析工具是更适合的。
应用推荐