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。
For instance, some problems are classification problems.
例如一些分类问题。
Audio classification and segmentation are key technologies for solving such problems, and are the basis of audio structured.
音频分类与分割技术是解决这一问题的关键技术，是音频结构化的基础。
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。
Based upon the analysis of the problems of the present systems for parts Classification and coding in the Group Technlogy, this paper presents a new coding scheme.
本文在分析成组技术中现有零件分类编码系统面临的问题基础上，提出了一种新的编码方案。
Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key problems for data mining.
数据分类是数据挖掘中的一个重要课题，研究各种高效的分类算法是数据挖掘的重要问题之一。
This paper gives a simple classification of stochastic optimization problems, and then summarizes important algorithms for stochastic optimization in discrete and continuous parameters.
本文给出了随机型优化问题的分类，并综述了离散参数和连续参数随机型优化问题中典型的求解算法。
Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.
贝叶斯方法是那些明确地在分类和回归问题中应用贝叶斯定理的算法。
There exist with the quota for construction of the parking lots of urban buildings in Chinasuch problems as low criterion for construction, rough classification and singly standard.
我国建筑物停车场配建指标存在着配建标准较低、分类粗糙、标准单一等问题。
For the common non-smooth contact namely corner problems in the more contacting bodies, more reasonable techniques are proposed by classification and real contact state of corners.
对于多块体常见的非光滑接触，即角点问题，将角点分类，并根据角点实际的接触状态分情况给出了更为合理的处理方法。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
决策树学习策略广泛应用于模式识别和机器学习等领域，用来解决与分类相关的问题。
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 fact that pu-erh fits in more than one tea type poses some problems for classification.
由于普洱茶能够适合一种以上的分类这个事实，因此在分类上就出现了一些问题。
In our country, the study of Chinese figurative words has been made for many years, but some basic problems are still fuzzier, at the stage of discussing, such as definition, classification etc.
汉语比喻词的研究在我国已进行多年，但一些基本问题，诸如比喻词的定义、分类等还都比较模糊，处于讨论阶段。
Aiming at the problems that active learning in multi-label classification is slowly, this paper proposes an improved method for multi-label classification which based on average expectation margin.
针对多标签主动学习速度较慢的问题，提出一种基于平均期望间隔的多标签分类的主动学习方法。
A general survey of the contemporary alerts correlation algorithms was given in this paper by a straight forward classification paradigm, and some problems for future research were addressed.
通过简单的分类综述了安全领域中报警事件关联算法的研究现状，并指出了需要进一步研究的问题。
Through the investigation, many problems are found on the five-grade loans classification, maybe incorrect provisions are set aside for loan losses.
调查中发现五级分类目前还存在问题，贷款损失准备计提的基础不牢靠。
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。
To address the above problems of statistical classification methods, we propose a novel rule based classifier for railway transport information.
针对基于统计的分类方法的上述不足，本文进一步提出了新的基于规则的铁路运输信息数据分类方法。
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。
The Fuzzy theory provides a powerful analysis tool for soft classification. It has been used to deal with clustering problems since it was presented.
模糊集理论的提出为软划分提供了强有力的分析工具，于是模糊聚类逐步成为了模糊研究的热点。
The Fuzzy theory provides a powerful analysis tool for soft classification. It has been used to deal with clustering problems since it was presented.
模糊集理论的提出为软划分提供了强有力的分析工具，于是模糊聚类逐步成为了模糊研究的热点。
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