统计学习理论 statistical learning theory ; SLT ; StatisticalLeamingTheory
统计学习基础 the elements of statistical learning
统计学习精要 The Elements of Statistical Learning
于统计学习理论 Statistical Learning Theory ; SLT
在统计学习理论 Statistical Learning Theory ; SLT
统计学习理论及应用 Statistical Learning Theory and Applications
的统计学习理论 Statistical Learning Theory ; StatisticsLearningTheory ; SLT
统计学习理论导论 Introduction to Statistical Learning Theory
Bayes统计学习 Bayesian statistical learning
Support vector machine(SVM)is a new classification algorithm based on statistical learning theory.
支持向量机是基于统计学习理论的一种新的分类方法。
参考来源 - 空间数据挖掘分类算法的研究Found on statistic learning theory (SLT), a sub-sampling curve presentation based on support vector machine (SVM) has been put forward.
与统计学习理论相结合,提出了一种基于支持向量机的优化子采样曲面表示方法。
参考来源 - 基于核机器学习方法的点云处理若干方法研究SVM (Support Vector Machine) algorithm is the newest branch of statistic learning theory.
支持向量机算法是统计学习理论中最年轻的分支。
参考来源 - 多分类支持向量机的研究及在说话人识别中的应用Support Vector Machine is a new pattern recognition technology which is based on VC Dimension theory of Statistical Learning Theory and Structural Risk Minimization of it.
支持向量机(Support Vector Machines简称SVM)是在统计学习理论的VC维理论和结构风险最小化原则的基础上提出的一种新的机器学习方法。
参考来源 - 支持向量机在地下工程中的应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
提出了基于统计学习的方法的电脑围棋程序。
Afterwards, the method based on the statistical learning was pointed out.
例如,我们的映射分析类似于从大的卫星图像数据或地理统计学习功能。
Our mapping analyses, for example, are similar to efforts to learn features from large satellite imagery data or geographic statistics.
因此,对统计学习模型的复杂性给出评价与选择的准则,一直是一个核心问题。
It has long been recognized that the Structural Risk Minimization (SRM) principle based on the concept of VC-dimension provides an excellent means for complexity selection of a learning machine.
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