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。
Constructivism believes that the essence of learning is a process of individual positive construction. The learning contents include structural knowledge and non structural knowledge.
建构主义认为学习的本质是个体积极主动的建构过程，学习的内容不仅包括结构性知识，而且包括非结构性知识。
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。
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。
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。
In this paper, the dynamic behaviors of continuous neural networks under structural variations in learning process are studied.
本文研究了连续神经网络在学习过程中结构摄动情况下网络的动态特性。
Based on the combination of SOA structural model and business data model, the key business collaborative system of virtual learning community is analyzed, and corresponding design and logical model.
结合基于SOA的结构模型和业务数据模型，对虚拟学习社区协同系统中的关键业务进行了分析和设计，并给出相应的逻辑模型。
It has its own law and unique structural characteristics distinguishing it from other learning activities.
医学学习有其自身规律，具有区别于其它学习活动的结构特征。
This course features a complete set of lecture notes and a unique interactive learning tool that explains structures and structural forces.
本课程的特点是有一整套课堂讲稿和一个独特的交互式学习工具，这工具可以解释建筑结构和结构受力。
Conclusions the structural abnormalities of the hippocampal neuronal synapses is the morphological basis of abnormalities of higher brain functions of learning and memory induced by hypobaric hypoxia.
结论海马神经元突触结构异常是低压低氧条件下大鼠学习记忆脑高级功能障碍的形态学基础。
The exponential stability and trajectory bounds of the motions of equilibria of an associative neural network under structural variations while learning a new pattern are investigated.
本文讨论了一类联想神经网络在学习过程中结构变化引起网络平衡点状态变化的动态特性；研究了网络的指数稳定性质；
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。
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。
These results suggest that the alterations of learning and memory behavior are closely associated with that of synaptic structural parameters of brain in natural aging mice.
结果提示，衰老过程中，小鼠学习记忆行为与其脑内突触结构参数变化密切相关。
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 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。
However, due to the structural form of idioms, has a different semantic characteristics of the uniqueness of the general vocabulary, so students are often difficulties in learning Chinese idioms.
但是由于成语在结构形式、语义特点等方面有着不同于一般词汇的独特性，使得留学生在学习成语时往往困难重重。
When the change of external condition reaches a certain threshold, the learning ability of students will be converted into a structural ordered state, to reach a new level.
当外界条件变化达到一定的阀值时，学生的学习能力会转为一种结构上的有序状态，达到新的水平。
Neural network have the abilities of self-learning, adapt and parallel management, but the structural selection lacks academic bases.
神经网络具有自学习，自适应，并行处理的能力，但结构的选择缺乏理论依据。
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。
Absrtact: Mainly introduces protein secondary structure prediction based on structural machine learning-covering algorithm.
摘要：介绍了构造性机器学习方法——覆盖算法在蛋白质二级结构预测中的应用。
Learning words irrespective of their function can be a waste of time, for not al words are equal... words like I, You, he are structural.
学习单词而不考虑它们的作用可能会白费时间，因为单词并不都是同样重要的。
For more effective meteorological data mining, this thesis introduces the quotient space granular computing theory, grey model, structural machine learning algorithm and so on.
为了更加有效地进行瓦斯数据挖掘，本文引入了商空间粒度计算理论、灰色模型、覆盖算法等。
For more effective meteorological data mining, this thesis introduces the quotient space granular computing theory, grey model, structural machine learning algorithm and so on.
为了更加有效地进行瓦斯数据挖掘，本文引入了商空间粒度计算理论、灰色模型、覆盖算法等。
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