Figure 12: Illustration of regression-based technique for estimation.
图12：基于回归的评估技术。
Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.
支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。
In this thesis, we concentrate on the research of the efficient regression technique based on function.
本论文致力于功能回归测试技术研究。
For non-linear problem, the forecasting technique of pre-classification and later regression was proposed, based on the classification approach of Support Vector Machine (SVM).
针对非线性问题，提出了基于支持向量机分类基础的先分类、再回归的预测方法。
Most often the Genco has an in-house price forecast tool based on available forecasting methods such as the conventional linear regression analysis technique, to cater to the need of a price forecast.
通常电力公司有内部价格预测工具，它是建立在可用预测方法之上，如传统的线性回归分析技术，以迎合对价格预测的需要。
Most often the Genco has an in-house price forecast tool based on available forecasting methods such as the conventional linear regression analysis technique, to cater to the need of a price forecast.
通常电力公司有内部价格预测工具，它是建立在可用预测方法之上，如传统的线性回归分析技术，以迎合对价格预测的需要。
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