Finally, we present a fast data classification algorithm based on sampling.
最后，我们提出了一种基于抽样的快速数据分类算法。
Ensemble learning is a research hotspot in machine learning, which can improve generalization performance of classification algorithm.
集成学习是当前机器学习的一个研究热点，它可以提高分类算法的泛化性能。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
As the core of packet classification technology, the performance of packet classification algorithm has a crucial influence on the time delay and throughput of the network.
包分类算法作为包分类技术的核心，其性能对网络的时延和吞吐量有决定性的影响。
Naive Bayes algorithm is a simple and effective classification algorithm. However, its classification performance is affected by its conditional attribute independence assumption.
朴素贝叶斯算法是一种简单而高效的分类算法，但是它的条件独立性假设影响了其分类性能。
Those are tightly associated with classification algorithm on the view of data mining.
从数据挖掘的观点来看，它们都与分类算法密切相关。
The validity of this classification algorithm is demonstrated by experimental results.
实验结果说明了所提方法的有效性。
This paper presents a fast text classification algorithm based on KNN (K Nearest Neighbor).
提出了一种基于K近邻(KNN)原理的快速文本分类算法。
We present a novel segmentation randomized tree based classification algorithm in this paper.
本文提出一种基于区域分割的随机树分类算法。
The precision of classification rule is decided by the construction of classification algorithm.
分类规则的精度取决于分类算法的构造。
In this paper, a classification algorithm for relational data with user's guidance was proposed.
提出了一种用户指导的关系数据分类算法。
This paper presents an insurance business risk analysis method based on SPRINT classification algorithm.
提出利用SPRINT算法对保险业务数据进行风险分析。
Performance of packet classification algorithm is an important factor of delay and throughput of network.
包分类算法的性能对网络的时延和吞吐量有决定性的影响。
This paper puts forward an environment acoustic event classification algorithm based on feature analysis.
为此，提出一种基于特征分析的环境声音事件识别算法。
This paper introduces an improved classification algorithm of wavelet coefficients in image coding using EZW.
本文提出了图像EZW编码中一种新的分类算法。
It plays an instructional role in academic study and practical application of KNN text classification algorithm.
对KNN文本分类算法的理论研究和实际应用起了指导作用。
Produce an algorithm based on encoding binary tree and supporting vector multi-category classification algorithm.
给出了一种基于编码二叉树的支持向量的多类分类算法。
Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.
结合模糊聚类和粗糙集提出了一种基于精简的模糊规则库分类算法。
There are some various algorithms in data mining, and decision tree classification algorithm is the most popular one.
在数据挖掘中存在多种算法，决策树分类算法是应用比较多的一种。
Two important research directions of text classification are: feature selection method and text classification algorithm.
文本分类的两个重要的研究方向是：特征选择与文本分类算法。
After analysis of requirements of traffic flow monitoring, an efficient, accurate flow classification algorithm is proposed.
通过分析单链路监测的流量特征和业务流监测分析需求，提出了一种高效业务流分类算法。
The algorithm imports title weight coefficient to improve the term weighting in conjuction with a new classification algorithm.
引入标题权重系数改进词语权重，并提出了一种新的分类算法。
According to these two algorithms, this thesis proposed a new gene function classification algorithm based on gene function tree.
依据这两个准则，本文提出了一种改进的基于基因功能树的基因功能分类算法。
A classification algorithm based on explanation could be put into the category of heuristic classification in knowledge engineering.
基于解释的分类算法可纳入知识工程中启发式分类的范畴。
This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.
针对基于基因表达数据的分类，本文从特征基因选择和支持向量机分类算法两个方面进行了改进。
Using this feature extraction and classification algorithm, this article classifies the practical acoustic signals from the truck, car and bus.
将上述特征提取及分类算法对实测的卡车、轿车和中巴车三种车型的噪声信号样本进行分类。
Compared to the well-known associative classification algorithm of CBA, the proposed approach has the advantage of fast speed and high accuracy.
与同类关联分类方法（如CBA）比较，本文提出的方法具有学习速度快、 分类准确度高的优点。
Experimental results indicate that this classification algorithm is very efficient in classifying targets and analyzing the scattering mechanism.
实验结果表明，该分类算法对于分类地物目标，进而分析其散射机理是十分有效的。
A typical BCI system consists of several parts, such as signal acquisition, feature extraction, classification algorithm, command output and so on.
一个BCI系统是由信号采集、特征提取、分类算法、命令输出等单元组成。
As a type of one-class classification algorithm, Support Vector Data Description (SVDD) was used to distinguish target objects from outlier objects.
支持向量域数据描述(SVDD)是一种单值分类算法，用于将目标样本与其他非目标样本区分开来。
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