他提出了一个统计工具，向量自回归(VAR)，来解决这一问题。
He proposed a statistical tool, the vector autoregression (VAR), as a solution to this problem.
使用管理入口点向量查询协议服务，获取系统上支持的每个协议的统计数据。
The protocol service is queried using the management entry point vector and the statistics are retrieved for each supported protocol on that system.
支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。
Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
支持向量机（SVM）是根据统计理论提出的一种新的学习算法。
The support vector machine(SVM) is a new learning technique based on the statistical learning theory.
支持向量机(SVM)是基于统计学习理论的新一代机器学习技术。
Support vector machine (SVM) is a new generation machine learning technique based on the statistical learning theory.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是统计学习理论的一个重要学习方法，也是解决模式识别问题的一个有力工具。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
本文首次将统计学习理论及支持向量机方法引入提高采收率方法的潜力预测中。
In this paper, statistical learning theory and support vector machine method are introduced in eor potentiality prediction for the first time.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
基于支持向量机的直推式学习是统计学习理论中一个较新的研究领域。
Transductive inference based on support vector machine is a relatively new research region in statistical learning theory.
支持向量机是基于统计学习理论框架下的一种简单、有效的分类方法。
Support Vector Machines algorithm is a simple and effective classification method based upon statistical learning theory.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
支持向量机是基于VC维和统计学习理论理念的数据挖掘中的一种新方法。
Support Vector Machine is a new method based on the idea of VC dimension and Statistical Learning Theory in data mining.
支持向量机是一种基于统计学习理论的新型机器学习方法。
Support vector machine (SVM) is a new learning machine based on the statistical learning theory.
基于统计学习理论中结构风险最小化原则的支持向量机是易于小样本的机器学习方法。
Support vector machine (SVM) based on the structural risk minimization of statistical learning theory is a method of machine learning for small sample set.
星座图与连接向量图是多变量统计的直观方法，可用于多变量样本或多变量指标的聚类分析。
Constellation diagram and contiguous vector diagram are audiovisual methods in multivariate statistics, they may be used for the cluster analysis of multivariate sample or index.
为了系统地归纳统计学习理论与支持向量机的基本思想和算法，总结目前该领域的最新研究成果。
The basic statistical learning theory (SLT) and its corresponding algorithms, support vector machines (SVMs), are surveyed, and especially, its latest research results are summarized and studied.
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。
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.
支持向量机是基于统计学习理论的一种新的机器学习方法。
Support Vector machine is a kind of new machine studying method, which is based on Statistical Learning Theory.
支持向量机是机器学习领域的研究热点之一，其理论基础是统计学习理论。
Support Vector machine is one of the hot points in machine learning research, it's theoretical basis is Statistical learning Theory.
与统计分析和神经网络相比，基于结构风险最小的支持向量机有更好的分类性能。
Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.
提出一种利用笔画线条的统计特征基于支持向量机进行图像中叠加文字检测的方法。
A text detection method was presented based on support vector machine(SVM) using the statistics features characterizing character strokes.
传统的统计方法不能够有效的处理如此高维数的特征向量，但是支持向量机就能够解决这一问题。
Traditional statistical method cannot deal with feature vectors with so high dimensions efficiently, but SVM (Supported vector Machine) could resolve this problem.
文章介绍了数理统计中实数或向量参数的正函数的后验平均、方差和预测密度的近似计算。
This paper introduces the approximate calculation of real number's or of vector parameter positive function's posterior mean, variance and forecasting density in mathematical statistics.
岩组分析是利用统计的方法研究天然岩石及其组成单元在空间向量性质，以阐明或探讨岩石形成时的条件及其在构造运动中的变形历史。
Fabric analysis studys vectorial quality of natural rock and unit in space by statistical method and illustrates or probes the produced condition and metastatic history during tectonic movement.
在探索手写字符识别的方法上采用了统计学习理论，利用支撑向量机SVM作为基本的识别工具。
Support Vector Machine (SVM) is used as the implementation basis, which is a tool of Statistical Learning Theory (SLT).
基于统计学习理论的支持向量机是一类新型的机器学习算法，由于它出色的学习性能，该技术已经成为当前学术界的研究热点。
The support vector machine based on statistical learning is a new type of machine learning algorithm, which has become the hot spot of academic study because of its excellent learning performance.
支持向量机是一种基于统计学习理论的机器学习方法，它解决了神经网络中存在的一系列问题。
Support Vector Machine(SVM) is a machine learning method based on Statistical Learning Theory. It can solve a series of issues of Neural Networks.
支持向量机是一种基于统计学习理论的机器学习方法，它解决了神经网络中存在的一系列问题。
Support Vector Machine(SVM) is a machine learning method based on Statistical Learning Theory. It can solve a series of issues of Neural Networks.
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