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。
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。
The risk probability is changed in the structural life.
建筑结构的风险概率随着结构的寿命不断变化。
Methods Risk factors of renal calculi were analyzed by factor analysis and linear structural relation model, followed by fitting and evaluating the model.
方法采用因子分析和线性结构方程模型分析肾结石发病的危险因素，并进行模型拟合与评估。
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。
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。
After that, the paper introduces two kinds of credit risk pricing models which adopt stochastic interest rate and credit risk: structural model and reduced-form model.
在此基础上，探讨了将随机利率与信用风险相结合的信用风险定价模型——结构模型和简约模型。
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 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。
Influence of corrosive environment on structural resistance, resistance decrease model, seismic risk and seismic effect on structures are analyzed.
分析了腐蚀环境对结构抗力的影响、抗力衰减模型、地震危险性、地震对结构的作用。
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。
Based on the physical meanings of structural reliability index, the optimization model of flood discharging risk is established in this paper, and the global PSO is introduced to solve the model.
基于结构可靠度指标的物理含义，建立了水库泄洪风险计算优化模型，并引进了粒子群全局优化算法对该模型进行求解。
According to the structural characteristics and use of bridge girder erection machine, this paper analyzes risk factors, corresponding measures to be taken for preventing accident.
本文根据架桥机的结构特点和使用状况，分析引起危险因素的原因，提出预防事故发生要采取的安全措施和相应办法。
The application of seismic structural method is also discussed for seismic risk assessment of nuclear power plant.
文中还讨论了地震构造法对核电厂场址地震危险性评定的应用。
This result can offer reference for seismic risk analysis and structural aseismic checking computation.
该结果对地震危险性分析以及结构抗震验算有一定参考价值。
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。
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。
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。
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。
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。
Secondly, it is discussed respectively the main process of structural engineering project risk management-risk identification, risk analysis and assessment, risk control and decision.
其次，对建筑工程项目风险管理的主要过程：风险识别、风险分析与评估、风险控制与决策分别进行了阐述。
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 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。
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。
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。
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