minimization principle造句
例句与造句
- this method can be used to small scale recognition, like artificial neural networks, but it has stronger generalization ability because the support vector machine theory is based on the minimization principle to structure risk
该方法与人工神经网络一样适用予小规模分类，但由于支持向量机依据结构风险最小化原则，因此泛化能力更强。 - an novel support vector regression ( svr ) algorithm based on structural risk minimization inductive principle instead of empirical risk minimization principle was firstly introduced in well logs intelligent analysis
摘要基于核学习的支持向量机，是一种采用结构风险最小化原则代替传统经验风险最小化原则的新型统计学习方法，具有完备的理论基础。 - support vector machine ( svm ) is a new method for pattern recognition based on the statistical learning theory . it is an implementation of structure risk minimization principle in the statistical learning theory
支持向量机(svm)是在统计学习理论基础上发展起来的一种新的模式识别方法，它是统计学习理论中的结构风险最小化思想在实际中的一种体现。 - support vector machine ( svm ) is a machine learning method based on the structural risk minimization principle and vc dimension of statistical learning theory . by using kernel functions, svm eliminates the problem of " curse of dimensionality " in high dimensional space and has better generalization performance than traditional statistical based learning methods
支持向量机是基于统计学习理论中结构风险最小化归纳原则和vc维原理的一种机器学习方法，它通过使用核函数巧妙的解决高维空间的维数灾难问题，并且具有比传统的基于统计的学习方法更好的推广性能。 - statistical learning theory derives necessary and sufficient conditions for consistency and fast rate of convergence of the empirical risk minimization principle, which is the basis of most traditional learning algorithms . it also theoretically underpins the support vector algorithms . support vector learning algorithm is based on structural risk minimization principle
传统的学习算法大多是基于经验风险最小化原则的，统计学习理论给出了经验风险最小化原则一致和快速收敛的充分和必要条件，并且为支持向量算法做了理论支持。 - It's difficult to find minimization principle in a sentence. 用minimization principle造句挺难的
- statistical learning theory derives necessary and sufficient conditions for consistency and fast rate of convergence of the empirical risk minimization principle, which is the basis of most traditional learning algorithms . it also theoretically underpins the support vector algorithms . support vector learning algorithm is based on structural risk minimization principle
传统的学习算法大多是基于经验风险最小化原则的，统计学习理论给出了经验风险最小化原则一致和快速收敛的充分和必要条件，并且为支持向量算法做了理论支持。