在训练模型时考虑使用特征选择也是很重要的。
It is also important to think about feature selection for training the model.
特征选择是数据处理的一项重要内容。
您将根据应用程序的需求和特征选择最适合您的方案。
You will choose the option that is right for you, based on your application's requirements and characteristics.
特征约简可通过特征提取或特征选择实现。
Feature reduction can generally fall into feature extraction or feature selection.
所以，对特征选择算法的研究是十分必要的。
数据预处理，数据压缩，特征选择与特征变换。
Data pre-processing, data reduction, feature selection, and feature transformation.
特征选择和特征抽取是维数约简常用的两种方法。
Feature selection and feature extraction are common methods for dimensionality reduction.
本文介绍了一种基于类别特征域的特征选择方法。
This paper presents a novel feature selection method which is based on class feature domains.
提出了一种基于免疫克隆选择算法的特征选择方法。
A new feature selection algorithm based on Immune Clonal selection algorithm (ICSA) is proposed.
本文提出了一种新的基于概念抽取和屏蔽层的特征选择方法。
In this paper, we propose a novel feature selection method based on concept extraction and shielded level.
针对不平衡数据集，提出一种基于后验概率的特征选择算法。
In this paper, a posterior-probability-based feature selection algorithm is proposed for imbalanced datasets.
特征选择可以去除原始特征中的冗余特征，提高诊断精度和诊断效率。
Feature selection can remove redundant features to enhance the effect of diagnosis.
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.
然后利用直方图法对每一特征作了特征选择，如此共选取了21个特征。
Then trait selection has been for every trait using the histogram method and 21 traits in all have been selected.
在自动文本分类系统中，特征选择是有效降低文本向量维数的一种方法。
Feature selection is a valid method to reduce the dimension of text vector in automatic text categorization system.
在机械故障诊断中，特征选择和分类器的参数优化都可以提高诊断精度。
Feature selection and parameters optimization of the fault classifier can enhance the fault diagnosis accuracy.
特征选择是目标分类的一项重要步骤，直接影响到分类器的设计和性能。
Feature selection is an important process in a target classification program and directly affects the design and performance of the classifier.
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.
文本特征选择是最大程度地识别和去除冗余信息，提高训练数据集质量的过程。
Text feature selection is a process of recognizing and deleting redundant information and enhancing training documents cluster quality.
特征选择在处理具有较多不相关特征的高维数据上已被证明是一种有效的手段。
Feature selection has proven to be an effective means when dealing with large dimensionality with many irrelevant features.
文章对被动声纳目标识别的特征提取、特征选择和分类器设计方面进行了回顾。
The techniques of feature extraction, feature selection and design of classifier for passive sonar target recognition are reviewed.
本文提出了示例学习的抽象信道模型，引入一个新的特征选择量——信道容量。
The abstract channel model for learning from examples is presented and a new attribute selection measure (channel capacity) is introduced.
利用最大余量原理的特征选择算法在目前的机器学习研究中已经占据了重要的地位。
Margin-based algorithms which use the large margin principle for feature selection have already played a crucial role in current machine learning research.
任何一门学科都具有其知识结构特征，根据特征选择教学方法有益于教学目的的实现。
Every discipline has its own characteristics of knowledge structure and only those teaching methods suitable for such characteristics can be used to achieve the teaching goals.
婴儿的特征选择是“一个服务，”Steinberg博士说，“我们打算很快提供这种服务。”
Trait selection in babies "is a service," says Dr. Steinberg. "We intend to offer it soon."
婴儿的特征选择是“一个服务，”Steinberg博士说，“我们打算很快提供这种服务。”
Trait selection in babies "is a service, " says Dr. Steinberg. "We intend to offer it soon."
然后根据程序中模块的特征选择与每个语句块相关的测试用例来计算该语句块的怀疑率。
Then, we selected related test case for each block based on the characteristic of program module, and computed suspiciousness of every block.
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.
MFCC充分利用了一个特征空间的中间聚类结果来帮助另一个特征空间进行特征选择。
MFCC USES intermediate clustering results in one type of feature space to help the selection in other types of feature Spaces.
MFCC充分利用了一个特征空间的中间聚类结果来帮助另一个特征空间进行特征选择。
MFCC USES intermediate clustering results in one type of feature space to help the selection in other types of feature Spaces.
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