VQ codebook design is essentially a classification of training vectors.
矢量量化码书设计本质是搜索训练矢量的最佳分类。
Note that this type of training will generally fit into the decision problem framework because the goal is not to produce a classification but to make decisions that maximize rewards.
需要注意的是，这类训练通常会置于决策问题的框架里，因为它的目标不是产生一个分类系统，而是做出最大回报的决定。
This name must be used again in the Classification Workbench, where you have to choose a field that contains the document text of your training data.
在ClassificationWorkbench中选择包含训练数据文档文本的字段的地方，必须同样使用这个名称。
The classification problem is then to find a good predictor for the class y of any sample of the same distribution (not necessarily from the training set) given only an observation [6]:338.
所谓的分类问题就是指对于相同分布的样本x（可以是训练集以外的样本），都能预知其所属的类。
For the training task, the Classification Workbench reports present a lot of information both on the overall KB accuracy and on a per-category basis.
对于训练任务，ClassificationWorkbench会报告大量信息，包括总体知识库精确性和每个目录的精确性。
The proficiency in classification and selection of Sol-fa and the mastery over training methods and steps of intonation are fundamental prerequisites for learning solfeggio.
对唱名法的分类与选择、音准的训练方法与步骤等内容的熟练掌握是学习视唱练耳的基本前提。
Experimental results show that the method improves the precision of classification effectively and reduces the complexity in training. The overall classification precision reaches 90%.
实验表明，该方法有效地提高了分类准确性，降低了训练的复杂度，分类准确率可达90%。
How to define training sample size and therefore select classifiers is a problem to solve in actual classification considering the cost of acquisition of samples.
考虑到样本获取的代价性，如何根据训练样本的大小来选择有效分类器是实际分类中需要解决的问题。
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。
It has payed great attention to effective training of feedforward neural networks when they are used for pattern classification.
前向网络在用于模式分类时，其网络的有效训练一直是一个受到关注的问题。
This essay describes briefly the conception, formation, production system, basic characteristics, function, classification of football consciousness, its place in football and training principles.
本文简述了足球意识的概念、组成、产生机制、基本特征、功能、分类，以及在足球运动中的地位和培养原则。
Use the class information of training set to build the model, and extract the feature benefit to classification.
利用训练文档的类信息对文本分类模型进行建模，提取对分类贡献较大的特征。
By training and check up of the stylebook, it's satisfying to predict the rock masses classification in front of the tunnel face.
通过对样本库的训练检验，对掌子面前方围岩类别预报取得了满意的效果。
Through support vector machine algorithms for gene expression data classification training, SVMs provide a effective way for analysis of gene expression data.
通过支持向量机训练算法对基因表达数据进行分类训练，为分析基因数据提供有效的手段。
Classification and clustering are both commonly used data mining methods. The advantage of classification is that the accuracy is higher, but the labeled training set is needed.
分类和聚类都是常用的数据挖掘方法，分类的优点是准确率较高，但需要带有类别标注的训练集；
The results of experiment show that the improved algorithm advances the precision of text classification, and reduces the requirement of training scale.
试验结果证明此改进算法能够提高文本分类精度，很好的降低了分类器对训练规模的要求。
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。
It gives each training sample a fuzzy membership property, and embodies the different contribution of training samples for classification result and emphasizes the importance of edge samples.
在训练样本中增加模糊隶属度属性，从而体现训练样本对分类的不同贡献，突出边缘样本的作用。
The speed of the classification is fast without the sample training or pattern matching.
该分类方法避免了样本训练和模板匹配，分类速度快。
In the classification experiment, we find that the number of the support vector is far less than the number of the training sample number.
在分类实验中，我们发现支持向量的数量远远小于样本数，这为我们解决大规模数据问题提供了方法。
This paper conveys the application of genetic algorithms (GA) which are used to improve unsupervised training and thereby increase the classification accuracy of remotely sensed data.
本文将遗传算法(GA)应用于非监督训练，提高了遥感数据的分类精度。
Classification rules discovery is a procedure to construct a classifier through studying the training dataset. It is a very important part of data Mining and Knowledge discovery.
分类规则发现则是通过对训练样本数据集的学习构造分类规则的过程，是数据挖掘、知识发现的一个重要方面。
However, the classification accuracy of SVM is significantly affected by its training parameter.
然而，支持向量机训练参数的选择对其分类精度有着很大的影响。
Using the training data, it explains the method of mining classification rules, and abecedarian experiment results validate its effectiveness.
通过训练数据的分析阐述了分类规则挖掘的方法，初步的实验结果验证了该方法的有效性。
For text classification based on SVM learning algorithm, usually there is an abundance of training data, which will cost a lot of computing resources in training process.
在采用SVM算法的文本分类中，由于文本所表征的向量空间维数通常非常巨大，因此在训练过程中将耗费大量的系统资源。
The classification method USES decomposition strategy to decompose initial problem into a series of two-class classification problems that reduces training scale and enhances training speed.
该方法采用分解策略，将原问题分解为一系列两类分类问题，降低了训练规模，提高了训练速度。
Fast ground tennis the pressure of the military tactics trains of the method can carry on the classification of system from the different angle, if carry on training according to the output reason;
快速球场网球战术的压力训练的方法可以从不同的角度进行系统的分类，如根据产生的原因进行训练；
Experimental results show that the designed classifier has many advantages of high training speed, short test time and high classification accuracy on fault diagnosis for rotor systems online.
将该方法应用于转子系统在线故障诊断中，结果表明，所设计的算法具有训练速度快、测试时间短、分类准确率高等特点。
Experimental results show that the designed classifier has many advantages of high training speed, short test time and high classification accuracy on fault diagnosis for rotor systems online.
将该方法应用于转子系统在线故障诊断中，结果表明，所设计的算法具有训练速度快、测试时间短、分类准确率高等特点。
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