The final number of statistical categories is the ultimate sample classification.
最终统计类别数即为待测样品的最终分类。
The sample classification method provided is adaptable to multivariate parameters regression analysis of various fields.
给出的样本分类方法对各种领域多元参数回归应用具有重要意义。
The calculation of learning is simple, classification rule is simplified, and sample classification right ratio is high.
样本训练的计算简单，分类规则得到简化，样本的分类正确率高。
The sample classification of abdomen MRI is carried out by the combining method of SOFM Neural network and doctors diagnosis.
将SOFM神经网络与医师诊断相结合对腹部MRI进行样本分类，并利用判别分析方法对肝硬化进行图像识别。
In these research areas, sample classification based on gene expression data is acting a very important role, it generally has two pivotal steps: gene selection and Classifier design.
在这个研究领域里，基于基因表达数据的样本分类扮演着很重要的角色，它一般具有两个关键步骤：基因选择和分类模型设计。
Prior to using Classification Workbench, you'll collect pre-categorized sample data (for example, documents) representative of the data you expect to classify using ICM.
在使用ClassificationWorkbench之前，要收集预先分类的样本数据(例如文档)，这些数据应该反映将用ICM进行分类的数据的典型情况。
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。
This is due to SVM can solve the small sample, nonlinear classification problem, which is the characteristics of the latent radar fault.
这是由于SVM可以很好地解决小样本、非线性分类问题，而这正是潜伏性雷达故障的特点。
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。
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。
The experiment shows that SVM processes better classification performance and spreading potential than RBF manual neural network under the small study sample condition.
实验表明，在小学习样本条件下SVM比RBF人工神经网络具有更好的分类性能和推广能力。
The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.
该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。
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 result is accord with geological sample and sediment chart, so this method can be applied on sediment classification of narrow-band pulse echo sound signal.
分析结果与地质采样结果及海图均吻合，说明本文提出的方法应用于窄带脉冲信号的海底底质分类是适用的。
Future studies from the selected variables and quantify sample volume increased data model function form the real estate market, such as classification of different nature, for further study.
未来的研究可以从变量的选取和量化、增大数据样本量、模型函数形式、房地产市场不同性质分类等方面，进行进一步研究。
Selecting train sample on the basis of fuzzy C-mean clustering decreased subjective factor affecting selecting train sample, so higher classification accuracy can be achieved.
同时，在模糊C-均值聚类基础上选择训练样本比起直接基于真实地物图选择，减少了主观因素对训练样本选择的影响，因此取得了更高的分类精度。
This kind of classification often is based upon a given premise: the marked sample is the whole sample.
这种分类方法通常是基于一个特定的假设：已标记类的样本是完全样本。
Finally, the result indicates that the classification is valid through selecting test sample and analyzing the imitation experiment.
最后选取测试样本进行实验分析，结果表明分类是有效的。
In this thesis, to establish their own sample libraries on the basis of my face, the face image to a support vector machine classification experiments.
本文在自己建立小样本人脸库的基础上，对人脸图像进行了支持向量机分类识别的实验。
The process and points for attention in denim garment dyeing is introduced in detail, such as testing of sample dyeing, garment classification, water usage, water level control of dyeing vessel etc.
具体介绍牛仔布成衣染色的基本程序及注意事项，诸如小样染色测试、衣物分类、用水、染缸水位控制等方面的操作步骤及注意点。
So, a new sample-based classification algorithm, PSS, is proposed. AS, HS and VS algorithms which are parallel algorithms of PSS are presented also.
因此提出一种新的基于抽样的数据分类算法PSS，并提出三种PSS并行化算法AS，HS和VS算法。
The classification accuracy was 89.6% for the training sample and 88.9% for the verifying sample.
训练样本的判别准确性为89.6%，校验样本的判别准确性为88.9%。
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。
ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sample, correct classification rate statistics.
OR L人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。
Since the feature of the meta-information classification keywords is sparse and the distributing of sample is unbalanced, this thesis considered the factor of data skew based on LS-VSM.
该方法首先通过在加权最小二乘 支持向量机的基础上加入对数据偏斜的处理，解决了元 信息分类时关键词特征稀疏和样本高度不均衡问题；
The support vector machine possesses the ability to solve problems such as small sample, non-linear, and the directed acyclic graphs algorithm has the advantage of high classification accuracy.
支持向量机具有较好的解决小样本、非线性问题的能力，而DAG算法具有分类精度高的优点。
Support vector machine is a new technique of data mining, which is regarded as the best theory aimed at solving the problem of classification and regression of small sample pool at present.
支持向量机是数据挖掘的一项新技术，被认为是目前针对小样本的分类、回归等问题的最佳理论。
SVM can only deal with the two-sample problem and can do nothing for the multi-classification problem.
SVM只能解决二类样本问题，无法解决实际情况中的多类分类问题。
SVM can only deal with the two-sample problem and can do nothing for the multi-classification problem.
SVM只能解决二类样本问题，无法解决实际情况中的多类分类问题。
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