评估指标体系的选取是企业信用评估的首要问题，它是一个特征选择问题。
The selection of the evaluating index system is the key to enterprise credit assessment, which is essentially a feature selection problem.
特征选择问题是机器学习和模式识别中的一个重要问题，特征的优劣直接影响分类器的设计和性能。
Feature selection is an important issue in the fields of machine learning and pattern recognition. The effectiveness of feature directly affects the design and performance of the classifier.
数值仿真和柴油机故障特征选择实验结果表明，新方法可以快速、有效地求得优化特征集，是求解特征选择问题的一个较好方案。
According to the results of data simulation and Diesel engine fault feature selection example, it is proved that this scheme can get optimal feature subset...
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
克拉克回答了这样一个问题：“社会选择何时起决定性作用，技术的具体特征何时更重要？”
Clark helps answer the question: "When is social choice decisive and when are the concrete characteristics of technology more important?"
输入特征选择和输入空间降维是基于神经网络暂态稳定评估的首要问题。
Feature selection and input dimension reduction are of Paramount im-portance to transient stability assessment based on neural networks.
本文研究了雷达目标识别过程中关于目标的编码、分类特征的提取与选择等问题。
A new method for extracting radar target pole features from its RCS is presented in this paper.
针对上述问题，提出了信息增益(IG)与主成分分析(PCA)相结合的特征选择方法。
Aiming at the preceding problem, this paper puts forward a feature selection method using Information Gain (IG) and Principle Component (Analysis) (PCA).
客户识别对于CRM的实施具有重要意义，客户特征选择是客户识别中的重要问题。
Customer recognition is of great importance to the implementation of CRM (customer Relationship Management), and the selection of customer features is an important problem in customer recognition.
在选择正确的发式来彰显脸型解决其它脸部特征问题时也许它会是一件令人望而却步的事情。
Selecting the right hairstyle to compliment a face shape and addressing other facial features can be a daunting task.
介绍了归纳学习中的决策树学习算法如id3、C4.5和特征子集选择问题。
And it introduces some algorithms of decision tree learning such as ID3, C4.5 and feature subset selection of Inductive learning.
通常把词义消歧作为模式分类问题进行研究，其中特征选择是一个重要的环节。
WSD is usually considered as an issue about pattern classification to study, which feature selection, is an important component.
研究提出局部脱耦方法用以简化问题规模、缩小搜索空间，选择特征统计算法进行优化方案的搜索。
In this paper, local decoupling method is put forward to simplify the scale of optimization problem and to reduce its searching scope.
特征选择是模式识别和机器学习领域的重要问题。
Feature selection is an important problem in the pattern recognition and machine learning areas.
数学开放式教学是一种新型的教学模式，其主要有如下几个特征：主体性、动态性、问题性、合作性、选择性。
The open style teaching of mathematics is comparatively a new kind of teaching model. Its main characteristics include: active participation, dynamic operation, problematic, cooperative and optional.
特征子集选择问题是机器学习的重要问题。而最优特征子集的选择是NP困难问题，因此需要启发式搜索指导求解。
The feature subset selection is an important problem in machine learning, but the optimal feature subset selection is proves to be a NP hard one.
在特征选择阶段，采用计算近似增益的平行算法，解决模型计算量过大和系统开销问题。
In the feature selection stage, the computing approximate gains in parallel is adopted in order to solve the computational expensiveness of the model and system spending.
针对主导产业选择这一重大问题，本文根据主导产业的特征，用定量分析方法给出了评价指标体系。
Based on the characteristics of the leading industry, and evaluation target system is given by quantitative analysis method.
列举了水下电接插件的几种典型局部密封结构和使用特征，讨论了水下电接插件的密封材料选择及有关问题。
Several kinds of sealing structure and their application to underwater electrical connectors were analysed. Problems such as the selection of sealing materials were discussed.
本文分析了液压设备的状态特征种类、特点及选择时应考虑的几个问题。
In this paper, the types, properties of characteristics in hydraulic equipment are analysed, and some considerations in their selection are presented.
分析了图像小波变换后小波系数的特征，讨论了优化小波系数的小波基选择问题。
Have analyzed properties of wavelet coefficients obtained from an image through wavelet transform, and discussed how to select wavelet basis to optimize wavelet coefficients.
特征选择及分类器参数优化是提高分类器性能的两个重要方面，传统上这两个问题是分开解决的。
Feature selection and classifier parameter optimization are two important aspects for improving classifier performance and are solved separately traditionally.
织物起皱的特征选择是一个组合优化问题，其具有非线性等复杂特性。
Fabric wrinkle feature selection is a matter of combine optimizes, because it has complex character, such as non-linearity etc, so it is very difficult to get the answer through routine method.
入侵检测问题实际上是一个分类问题，特征选择的好坏直接决定了分类模型的性能。
Intrusion detection is a classification issue, performance of classification model is determined by feature selection.
深入研究了该算法初始形状选择、定位与特征点局部特征描述两个关键问题。
The initial shape selection, location and the local feature description around the feature points are discussed deeply.
对垃圾图像判别问题中的特征提取和特征选择研究现状进行了总结。
This paper was a review of the methods of feature extraction and feature selection for spam image identification.
针对网页过滤技术中的特征选择方法存在的问题，加入语义信息，改进TFIDF公式，提出了一种比较适合网页过滤的特征选择方法。
Some feature extraction methods for web filtering exist problems, semantic information is added, the TFIDF formula is improved and then a method of feature extraction is proposed.
针对这一问题，提出了一种基于聚类的特征选择方法，先使用聚类的方法对特征间的冗余性进行裁减，然后使用信息增益的方法选取类别区分能力强的特征。
This paper introduced a new feature selection method, which first used clustering to reduce redundancy among features and then used Information Gain to choose good features.
针对这一问题，提出了一种基于聚类的特征选择方法，先使用聚类的方法对特征间的冗余性进行裁减，然后使用信息增益的方法选取类别区分能力强的特征。
This paper introduced a new feature selection method, which first used clustering to reduce redundancy among features and then used Information Gain to choose good features.
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