For instance, some problems are classification problems.
例如一些分类问题。
Most existed classification problems can be converted into a positive definite quadratic program.
现有的大多数分类问题都能转化成一个正定二次规划问题的求解。
VC dimension plays a central role in the Statistical Learning Theory especially for classification problems.
在统计学习理论中，尤其对于分类问题，VC维扮演着中心作用。
Simple SVM can only handle binary classification problems; can not directly handle multi-value classification.
简单的支持向量机只能处理二值分类问题，不能直接处理多值分类问题。
And the paper compares them in the reasoning mechanism and reasoning process in the fuzzy classification problems.
其次在模糊分类问题中从推理机制和推理过程两个方面对这两种方法进行了比较。
In this article we investigate logic classification problems that are solved using perceptrons on MATLAB condition.
本文研究在MATLAB环境下，利用感知器求解逻辑分类问题。
It's important to extract an appropriate fuzzy rules set for multi-classification problems that have fuzzy variables.
对于具有多模糊特征变量的多分类问题，自动提取适当的模糊模式识别规则集至关重要。
Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
多分类器组合是解决复杂模式识别问题的有效办法。
Support Vector Machine (SVM) can be used to solve classification problems, and it is very important to optimize its parameters.
支持向量机(SVM)可以很好地用来解决分类问题，参数优化尤其重要。
The proposed approach can generalize well on difficult image classification problems, especially, for images taken in different views.
本文提出的算法能够在较困难的图像分类问题上得到较好的结果，尤其是为不同角度拍摄的物体影像分类。
The paper mainly discusses the application of CRI method, and the comparison of CRI method and similarity-based method in the fuzzy classification problems.
本文主要讨论CRI方法在模糊分类中的应用，及与基于相似性推理方法在模糊分类应用中的比较。
It has wide range application areas to apply in pattern recognition due to its powerful information process capability, especially in classification problems.
由于其具备强大的信息处理能力，被广泛应用于模式识别领域，尤其是分类问题。
Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created.
监督学习是最常见的分类问题，因为目标往往是让计算机去学习我们已经创建好的分类系统。
The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast.
支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
The results of experiments and analyses show that the new approach is not only simpler and easier, but also is applicable to many neural networks and many classification problems.
实验和分析表明，这种方法简单可靠，对许多神经网络和模式分类问题效果明显。
A learning algorithm based on a hard limiter for feedforward neural networks (NN) is presented, and is applied in solving classification problems on separable convex sets and disjoint sets.
提出了基于硬限幅功能函数的前向神经网络的分类学习算法，并将其应用于可分凸集或不交集合的分类。
The classification method USES decomposition strategy to decompose initial problem into a series of two-class classification problems that reduces training scale and enhances training speed.
该方法采用分解策略，将原问题分解为一系列两类分类问题，降低了训练规模，提高了训练速度。
Then it discusses the application of CRI method in the fuzzy classification problems in the following three aspects: (1) the influence of different implication operators on the classification result;
然后从以下三个方面讨论了CRI方法在模糊分类中的应用：（1）不同的蕴涵算子对分类结果的影响；
First of all, forming a unitary classification of events, dividing the events to local incidents and manifestations of global problems.
首先是对新闻事件要形成统一的分类标准，将之分为局部事件和全球问题。
Diagnostic criteria were based on the International Statistical Classification of Diseases and Related Health Problems.
分析标准是以国际疾病分类和有关健康问题为基础。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
The significance of classification and problems of current classification system of practice methods urge us to inspect afresh the classification system of practice methods.
练习法分类的重要性以及我国当前练习法分类体系所存在的问题，要求我们重新审视练习法分类体系。
The purposes of the classification were to solve the statistics problems of diseases, workout the measure of community based rehabilitation, draw up the index and retrieving of rehabilitation records.
分类的意义在于解决世界范围内残疾统计，制定社区康复服务措施、编制康复病案索引和进行病案记录检索。
Evolution of chemical matter and its level classification are not two irrelevant problems but two aspects of a problem.
化学物质的进化和化学物质的层次分类，是一个问题的两方面，而不是两个不相关的问题。
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。
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