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Support Vector Machine (SVM) , which based on Statistic Learning Theory, has the adaptive generation ability. 建立在统计学习理论基础之上的支持向量机具有和样本数相适应的最优泛化能力。
The support vector machine (SVM) developing on the foundation of statistic learning theory (SLT) is known as a proper theory or tool and there are small examples, such as data containing noise. 进而基于统计学习理论基础建立的适合小样本，含噪数据的机器学习理论-支持向量机，以支持向量机作为说话人识别的分类器之一。
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。
Statistical Learning Theory or SLT, which was based on probability space, is a small-sample statistics by Vapnik. 统计学习理论(SLT)是由Vapnik 等人提出的一种小样本统计理论,但是该理论是在概率空间上建立起来的。
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。
Compared to traditional statistics, statistical learning theory (SLT) is a machine learning strategy for a finite set of samples. 与传统的统计学方法相比，统计学习理论是一种专门研究有限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。