In fact, the support of statistical view shares some similar limitations to the support of MQT in DB2.
实际上，DB 2中对统计视图的支持与对MQT的支持具有类似的局限性。
The statistical view currently does not support aggregate functions like SUM, MAX, distinct operations or set operation like UNION, EXCEPT or INTERSECT.
当前，统计视图不支持SUM、max之类的聚合函数，也不支持distinct操作和UNION、EXCEPT或INTERSECT之类的集合操作。
Support vector machine (SVM) is a new generation machine 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。
The support vector machine(SVM) is a new learning technique based on the statistical learning theory.
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 is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
Using data and applying proven statistical methods are integral to the business process, as is the commercial software used to support the workflows.
使用数据和应用成熟的统计方法是业务流程的必要组成部分，就像用商业软件来支持工作流程。
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.
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。
Support vector machine (SVM) is a new learning machine based on the statistical learning theory.
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) based on the structural risk minimization of statistical learning theory is a method of machine learning for small sample set.
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) 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。
BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
商务智能的应用包括支持性决策系统，提问及报告，在线分析程序，统计分析，预测及数据探测。
Support Vector machine is one of the hot points in machine learning research, it's theoretical basis is 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。
Statistical evidence lends support to the view that a massive influx of funding is needed to strengthen crime prevention programs .
统计数据证明加强防止犯罪的工作需要大量资金投入。
The experimental data support the radiation-induced DNA DSB statistical fragmentation model.
实验结果支持DNA双链断裂后碎裂片段分布的统计碎裂模型。
Support vector machine is a kind of machine learning algorithm based on statistical learning theory which mainly researches the learning of limited number of samples.
支持向量机是一种基于统计学习理论的机器学习方法，该理论主要研究在有限样本下的学习问题。
The system also has complete statistical reporting capabilities. It can analyze every kind of data for decision-making support.
同时，该系统还具有完整的统计报表功能，能分析各类数据，为决策层提供支持。
In this paper, statistical learning theory and support vector machine method are introduced in eor potentiality prediction for the first time.
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。
Currently, the support vector machine (SVM) which based on statistical learning theory is a research hotspot.
基于统计学习理论的支持向量机是当前机器学习领域的一个研究热点。
The support vector machine (SVM) is a new learning machine based on the statistical learning theory.
支持向量机是一种基于统计学习理论的新型学习机。
Support vector machines (SVM) based on the statistical learning theory is a new machine learning tool.
基于统计学习理论的支持向量机是一种新型机器学习工具。
Provide information to support the application of process control and related statistical techniques specified in international and industry standards.
提供相关信息来支持在国际工业标准中详细列出的关于工序控制和相关统计技术的应用。
Statistical analysis showed that the six factors of the questionnaire strongly support the work characteristic model, but with new features.
统计分析显示，调查问卷的六个因素强烈支持工作特征模型，但又具有新的特点。
In recent years, Support Vector Machine (SVM) has become the research focus in statistical theory.
近年来，支持向量机(SVM)已成为统计学习理论的研究热点。
This study is a statistical analysis on the authors, the units the authors belongs, the citations and the funds support projects of the articles appeared in Library Tribune since 2000.
文章首先统计了《图书馆论坛》2000年以来的论文作者和作者工作单位情况，然后对引文情况、基金项目成果等进行了统计与分析，得出一些具有参考意义的结论。
In this paper, a lot of data and material are used to get theoretical support, and the statistical method is used to analyze the results of comparative experiments.
本文运用文献资料法查阅大量资料，以得到理论支持，并用数理统计法对对比实验的结果进行分析。
Secondly, the text studies the Statistical Learning Theory(STL) and Support Vector Machine(SVM)theory seriously, discusses multi-category classification algorithms of SVM.
其次，认真研究了统计学习理论的主要内容和SVM算法的基本原理，并且就SVM的多种多类别分类算法分别加以讨论。
Support vector machine (SVM) is the best general machine learning theory developed from statistical learning theory, and suit to do prediction from small samples by learning.
本文采用统计学习理论，建立了基于最小二乘支持向量机的永磁操动机构动作时间预测模型。
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。
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.
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.
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。
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