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- Vapnik V N.The Nature of Statistical Learning Theory [M].NY:Springer Verlag. 边肇祺;张学工.;模式识别[M]
- An algorithm is presented through using structural risk minimization (SRM) based on statistical learning theory. 在研究统计学理论的基础上，提出了以结构风险最小化为目标的训练方法。
- The Support Vector Machines(SVM) based on ethe Statistical Learning Theory can solve this problem. 而基于统计学习理论的支持向量机(SVM) 方法正好克服了这方面的不足。
- Statistical Learning Theory (SLT) is a new statistical theory framework established from finite samples. 统计学习理论是在有限样本情况下新建立起来的统计学理论体系。
- In this paper,the outline for the theory is rigorously and popularly discribed,and an imagination about Statistical Learning Theory with Additional Information is presented. 该文严谨且通俗地描述了这一理论的概貌,并提出有附加信息的统计学习理论的设想。
- Support vector machines(SVMs) are based on statistical learning theory(SLT).It has been hot research in machine learning area. 支持向量机是一种基于统计学习理论的机器学习方法,成为当前国际机器学习界的研究热点。
- Abstract: Support vector machine （SVM） is a powerful machine learning technique based on statistical learning theory （SLT）. 文章摘要: 支持向量机是建立在统计学理论之上的强有力的机器学习技术。
- Fortunately, Statistical learning theory (SLT) and support vector machines (SVM) provide methods to solve the problems mentioned above. 与传统统计学方法相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。
- Learning algorithms, in statistical learning theory, can be described as greedy procedures for stagewise minimization of an appropriate cost funcation. 摘要学习理论中，许多学习算法可以描述为一个最小化适当损失函数的贪婪过程。
- To improve sonar performance in shallow water, a novel method for target localization based on a statistical learning theory's recognizer was proposed. 摘要为了提高声纳在浅水域的性能，提出了一种基于统计学习理论的目标识别器的目标定位方法。
- Support vector machines(SVM),a learning method based on statistical learning theory(SLT),can solve small sample learning problems better. 支持向量机是建立在统计学习理论上的一种学习算法，较好地解决了小样本学习问题。
- RKHS will be an essential tool for establishing a connection between Regularization Theory and Statistical Learning Theory. RKHS是结合正规化理论和统计学理论的必要工具。
- Tao Qing, born in 1965.Ph.D., Professor and Ph.D. Supervisor.Dr.Tao's main research interests include neural networks, statistical learning theory and SVM. 陶卿,1965年生,博士,教授,博士生导师,主要研究方向为神经网络、统计学习理论和支持向量机。
- To improve the rolling effect and reduce the cost, rolling model analysis framework based on data is presented by using the Statistical Learning Theory (SLT). 为提高轧制精度并降低生产成本,本文将统计学习理论的思想引入了冷连轧轧制力能参数的分析中,建立了基于数据的轧制模型分析框架。
- Support vector machine(SVM) is a novel and powerful learning method which is derived based on statistical learning theory(SLT) and the structural risk minimization principle. 建立在统计学习理论基础之上的支持向量机(SVM),是一种基于结构风险最小的小样本机器学习方法。
- In order to forecast the large-scale water pump running performance, the kernel algorithm of Statistical Learning Theory (SLT), Support Vector Machine (SVM), is applied. 摘要为了预测大型水泵在运行中的性能，采用了统计学习理论中的核心算法-支持向量机。
- According to this, the Support Vector Machines (SVM), which developed from the Statistical Learning Theory (SLT), is generally believed a preferably method account for it. 对于这类问题，从统计学习理论发展起来的支持向量机（SVM）分类算法是目前效果比较好的一种解决方法。
- Support vector regression (SVR), a powerful machine learning technology based on statistical learning theory (SLT) was applied to QSAR on the aldose reductase inhibitory activity of 48 flavones. 用支持向量机回归(SVR)方法研究了48个黄酮类化合物醛糖还原酶抑制活性的定量构效关系。
- Support Vector Machine(SVMs) is a novel machine learning method based on statistical learning theory(SLT).SVM is powerful for the problem with small sample,nonlinear and high dimension. 支持向量机是以统计学习理论为基础发展起来的新的通用学习方法,较好地解决了小样本、高维数、非线性等学习问题。
- Support Vector Machines is an important theory designed based on the Vapnik-Chervonenkis Dimension in statistical learning theory (SLT) and empirical risk minimization (ERM) principles. 支持向量机是建立在统计学习理论的VC维（Vapnik-Chervonenkis Dimension）理论和结构风险最小化原则基础上的重要理论。
