A much greater structural risk occurs in temperate and tropical areas.
在温带和热带地区会出现更大的结构风险。
Because the structural risk minimization principle makes SVM exhibit good generalization.
结构风险最小化原则使其具有良好的学习推广性。
They USES Structural Risk Minimization and the kernel trick to solve the learning problems.
它使用结构风险最小化原则，运用核技巧，较好地解决了学习问题。
The SVM (support vector machines) is a classification technique based on the structural risk minimization principle.
是一种基于结构风险最小化原理的分类技术。
SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.
支持向量机基于结构风险最小化原则，解决了小样本数据分类和泛化问题。
It can solve small samples learning problems better by using structural risk minimization in place of experiential risk minimization.
由于采用了结构风险最小化原则替代经验风险最小化原则，使它能较好地解决小样本学习问题。
Secondly, on the basis of these bounds, the idea of the structural risk minimization principle based on birandom samples is presented.
以这些界为基础，给出基于双重随机样本的结构风险最小化原则。
The learning discipline of SVM is to minimize the structural risk instead of empirical risk, hence the better extensibility is guaranteed.
同时，由于该方法建立在结构风险最小化准则上，而不是仅仅使经验风险最小，所以，它具有好的推广能力。
It based on structural risk minimization can effectively solve the over study problem and the good extension and better classified accuracy.
它基于结构风险最小化原理，能有效地解决过学习问题，具有良好的推广性和较好的分类精确性。
It operates on a principle, called structural risk minimization, which aims to minimize the upper bound on the expected generalization error.
它基于结构风险最小化准则，目的是最小化泛化误差上界。
It based on structural risk minimization can effectively solve the over study problem and has the good extension and the better classified accuracy.
它基于结构风险最小化原理，能有效地解决过学习问题，具有良好的推广性和较好的分类精确性。
A risk model considering the action of hydrologic risk and structural risk together for studying slops failure is derived by using the formulas o...
并以一边坡结构为例，在洪水风险为随机的情况下给出边坡失效破坏风险的具体计算过程。
This paper holds that structural risk and periodic risk of enterprise cluster is exogenous risk and the real threat to enterprise cluster is network risk.
本文认为企业集群的结构性风险与周期性风险仅仅是一种外生性风险，而真正威胁企业集群的是网络性风险即内生性风险。
It is a new statistical study method in which the traditional empirical risk minimization principle is replaced by structural risk minimization principle.
支持向量机是以统计学习理论为基础的，采用结构风险最小化原则代替传统经验风险最小化原则的新型统计学习方法。
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 is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.
支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。
Structural risk minimization induce principle is used to control the bound on the value of achieved risk by controlling experiential risk and belief bound at the same time.
结构风险最小化归纳原则通过控制经验风险和置信范围来控制实际风险的界。
The difference between them is that the former is based on the structural risk minimization principle and the latter is based on the experiential risk minimization principle.
不同的是，前者是基于结构风险最小化原理，后者基于经验风险最小化原理。
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。
On the early stage of the structural life-construction, the structural risk probability gets the maximal point. The safety accident will happen if the unseemliness way is adopted.
在结构寿命的初始阶段——施工阶段结构的风险概率最大，如果处理不当，很容易导致安全事故的发生。
Support vector machines is a new statistical learning method based on structural risk minimization principle, and it has integrated theory and valid learning generalization ability.
支持向量机是一种基于结构风险最小原则的新型机器学习方法，具有完备的理论依据和良好的学习泛化能力。
Based on the structural risk minimization principle, the latest data mining method, support vector machine (SVM) algorithm, in artificial intelligence field was introduced in this paper.
介绍了人工智能领域最新的基于结构风险最小化原理的数据挖掘算法——支持向量机算法。
The main advantage of SVM is that it can serve better in the processing of small-sample learning problems by the replacement of Experiential Risk Minimization by Structural Risk Minimization.
由于使用结构风险最小化原则代替经验风险最小化原则，使它能较好地处理小样本情况下的学习问题。
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.
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。
By collecting samples for SVM training, the optimal separating surface with the minimization structural risk is developed for real-time monitoring of the functioning of the state transformer fan.
通过采集风机样本进行SVM训练，拟合出具有最小结构风险的最优分类面，用于实时监测变压器风机的运转状态。
The SVM method is based on seeking on the Structural Risk Minimization by few learning samples supporting, and it has important feature such as good generalization and classification performance, etc.
支持向量机方法基于小学习样本条件下，通过寻求结构风险最小，以期获得良好的分类效果和泛化能力。
A report prepared for the meeting warns of "structural" problems in world food markets that risk war and famine - unless food output is doubled in 20 years.
为会议准备的一份报告警告说，世界粮食市场的“结构性”问题可能会引起战争和饥荒，除非粮食产量在20年里能够翻一番。
The hybrid IFs system adds alternative structural formulations for causes not well served by regression models and accounts for changes in proximate health risk factors.
由于通过回归模型未能很好解释死因，混合国际期货系统增加了替代结构模型进行死因分析，并且解释了相似健康危险因素的变化。
If the core structural reason of this problem -dual structure of the human capital cannot be solved, China will face the realistic risk of the serious passive urbanization problem.
如果产生这一问题的结构性原因——人力资本的二元结构得不到解决，中国将面临出现严重的消极城市化问题的现实风险。
Taking bold measures to address legal and structural barriers that increase HIV vulnerability, particularly for most-at-risk populations.
采取果敢措施，解决加重艾滋病毒感染脆弱性的法律和结构性障碍，特别对于最高危人群而言。
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