The tree would be pruned to reduce classification error and over-fitting.
在树上剪枝以降低分类错误率。
This method is simple and efficient and decreases the classification error ratio.
实验证明，该模型在简单、高效的同时降低了对垃圾邮件分类的错误率。
In addition, the Nonlinear ADF is further optimized using Minimum Classification Error criterion.
同时，基于最小分类错误准则对该函数进行了优化。
This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion.
提出了一种基于最小分类错误准则的概率神经网络的训练算法。
The classification error rate for normal and early stage DR samples reached 21.35% using a linear classifier and the leave-one-out method.
使用线性分类器进行分类，并用“留一法”统计结果，正常人和早期DR病例的分类错误率为21.35%。
The reason is the contributions of different labels to minimizing the classification error are different due to the inherent label correlations.
这是因为考虑到类别的关联性，不同的类别对最小化分类误差的贡献是不同的。
An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.
提出了一种基于最小分类错误(MCE)训练的采用多层感知器(MLP)结构的模式分类器设计方法。
The experimental results show that the proposed method can fuse multiple classifiers with low classification error rate based on comprehensible fuzzy systems.
实验结果表明，该方法能够用可理解性好的模糊系统实现低错误率的多分类器融合。
Minimum classification error (MCE) rate method is the most straightforward criterion for HMM training. Inprinciple, it is much better than the maximum likelihood method.
最小错识率(MCE)HMM训练方法是最直接的判决训练方法之一，原理上比最大似然接方法优越得多。
The learning of Backpropagation Neural Network (BPNN) aimed at lowering the classification error, usually assuming that all the samples had equal price when misclassifications were made.
传统的反向传播神经网络(BPNN)学习以分类错误最小为目标，通常假定在分类错误时所有样本的代价完全相同。
Minimum Classification Error (MCE) criterion based sub-words weighting parameters estimation algorithm is proposed in which the sub-word weighting parameters are derived by the MCE training.
本文提出了一种基于最小分类错误准则(MCE)的子词权重参数估计算法，通过MCE训练得到子词的权重系数。
When training sets with uneven class sizes are used, the classification error based on C-Support Vector Machine is undesirably biased towards the class with fewer samples in the training set.
SVM分类算法在不同类别样本数目不均衡的情况下，训练时的分类错误倾向于样本数目小的类别。样本集中出现重复样本时作为新样本重新计算，增加了算法的训练时间。
In this paper, firstly a technique for confusion class recognition based on classification error distribution is proposed to recognize confusion class sets existing in the pre-defined taxonomy.
首先，提出了一种基于分类错误分布的混淆类识别技术，识别预定义类别中的混淆类集合。
Learning rules are constructed according to deterministic annealing to optimize classifier parameters, on purpose to reduce classification error and system entropy of the space to be identified.
由确定性退火技术构造学习规则用于优化分类器参数，目的是减少分类误差以及待识别空间的系统熵。
Notice something important here: in the classification problem, the goal of the learning algorithm is to minimize the error with respect to the given inputs.
请注意这里提到的一个问题：在分类问题中，学习算法的目标是把给定输入中的错误最小化。
Soil loss intensity had a great error based on Reference Index of Soil Erosion intensity Classification.
利用现行标准的参考指标判定土壤流失的强度出现较大的误差。
This section is the core of the article, mainly in four aspects, namely combat error's characteristics, classification and the position of the combat error and its criminal responsibility.
该部分是文章的核心内容，主要包括四方面内容，分别是打击错误的特征、分类、打击错误在错误论中的定位及其刑事责任。
Error classification has long been the focus of controversy in the linguistic circles.
语言学习者的错误分类问题一直是语言教学界长期争论的焦点。
Some practical problems allow certain degree error of classification, in order to solve the problems, this paper extended our model and put forward the degree rough set model based covering.
有一些实际问题是允许一定程度的分类误差的，为了解决这些问题，本文将基于覆盖的粗糙集模型作了相应的推广，提出了基于覆盖的程度粗糙集模型。
The basic error classification of the PMT is introduced, including static error and dynamic error mostly.
介绍了并联机床误差的基本分类，主要分为静态误差和动态误差两大类。
Further, a hybrid BP algorithm with dead interval of error is derived for training the neural classifier in order to increase training speed and classification accuracy.
此外，提出用带输出误差死区的混合BP算法训练神经元分类器，提高了网络学习训练速度和分类准确性。
But meanwhile, the data fusion coming from the coherence of different polarizations in the polarimetric data produces more error for lithological classification.
但是，由于不同极化状态回波信号之间的相关性，极化数据不可避免地产生数据冗余，反而增大了岩性分类的误差。
Next, the system can store the DRC violation, the user-selected error classification, and a user identifier associated with the user in a database.
接着，系统可以将DRC违例、用户选择的错误分类、以及与用户关联的用户标识符存储在数据库中。
Experimental results show that phonetic classification based on the triphone can greatly improve system performance. The proposed method reduces the error rate by 28% compared with a baseline system.
实验表明：基于语音学分类的三音子单元对识别性能有明显的改善，系统的首选误识率相对基线系统降低了28%。
This thesis is based on two kinds of theory, it looks back different viewpoints that different schools have in different periods and error classification.
本文以这两种理论为依据，回顾了不同时期、不同学派对于错误的不同观点及错误的分类。
Besides, this thesis discusses the concept, classification and handle principles of error of law.
第三部分论述了法律错误的概念、分类及处理原则。
An improved algorithm for classification of MDPSK signals based on cumulants is presented in this paper, which is robust to the error of the carrier synchronization.
本文研究了收发双方存在载波频差时利用累积量实现调制分类这一实际问题，提出一种改进的基于累积量的信号分类算法。
The meaning and the identification of error in English study and the classification are studied in the first three parts.
文章前面三个部分研究了英语学习过程中错误的意义，错误的识别以及分类的理论。
The definition and classification of material's thermal expansion coefficient are introduced briefly. The thermal deformation calculation method and error of parts often used in practice are analyzed.
简要介绍了材料热膨胀系数的定义及分类，并对经常使用的零件热变形的计算方法及计算产生的误差进行了分析。
The definition and classification of material's thermal expansion coefficient are introduced briefly. The thermal deformation calculation method and error of parts often used in practice are analyzed.
简要介绍了材料热膨胀系数的定义及分类，并对经常使用的零件热变形的计算方法及计算产生的误差进行了分析。
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