Fingerprint classification problem has always been a difficulty in the AFIS.
如何正确地把指纹分类在自动指纹识别研究中始终是一个难点。
Situation assessment is a dynamic classification problem of multiple hypotheses.
态势估计可归为一个多假设动态分类问题。
The division of city hierarchical structure is a multi-index classification problem.
城市规模等级结构的划分是一个多指标的分类问题。
How do you know what machine learning algorithm to choose for your classification problem?
如何针对某个分类问题决定使用何种机器学习算法？
The rock quality evaluation can be taken as a pattern recognition or classification problem.
岩体质量评价问题可以认为是一个模式识别或分类问题。
In this paper, we treat Chinese text chunking as a classification problem, and apply SVM to solve it.
本文将中文组块识别问题看成分类问题，并利用SVM加以解决。
A method based on Riemannian metric to the classification problem with imbalanced training data was proposed.
本文提出一种基于黎曼度量的训练样本类不平衡问题的分类方法。
Presents support vector machine to solve the classification problem based on the fire video and suspected fire video.
以火灾视频和干扰视频为分析对象．利用支持向量机研究火焰及干扰物体的分类识别问题。
This paper presented the definition, geometric meaning, and recent research development of packet classification problem.
阐述了互联网络中报文分类问题的定义、几何意义和最新研究进展。
Based on the semantic chunking result, the Chinese SRL can be changed into a sequence labeling problem instead of the classification problem.
这一方法将汉语语义角色标注从一个节点的分类问题转化为序列标注问题，我们使用了条件随机域这一模型，取得了较好的结果。
The task of classification problem is to mine a rule-set for forecasting the class of a new example by studying the data sets with class label.
分类问题的任务是对已有类别的数据集用分类器挖掘一组规则集来预测新样例数据的类别。
The layer recognition in the process of integrated logging interpretation can be regarded as a classification problem based on pattern recognition.
测井综合解释过程中的井层判别可看成是一个模式识别和分类问题。
The fundamental issue for classification problem caring about is how to effectively improve the generalization ability of the classification system.
分类所关心的一个根本问题是如何有效地提高分类系统的泛化能力。
In this thesis, the main research is content-based junk short messages filtering which can be treated as irregular short text classification problem.
本文主要研究了基于内容的垃圾短信过滤，它可以看成是一个不规则短文本的分类问题。
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。
Experiment results show that the proposed method is efficient to solve multi-classes classification problem and the accuracy can be achieved to 89.16%.
实验结果表明，该方法对解决分类特征不易于提取，类别数目多的分类问题有明显效果，分类准确率达到89．16％。
To find customers who are similar to the user, cluster models divide the customer base into many segments and treat the task as a classification problem.
为了寻找与当前用户相似的顾客，聚类模型对顾客基础进行细分，并把这个任务当做为分类问题。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
The clustering methods can exactly describe clustering criterion with formulations by the objective function. The classification problem can be better solved.
摘要模糊聚类分析算法能够通过目标函数准确地用公式表述聚类准则，从而较好地解决分类问题。
For example, in a classification problem, the learner approximates a function mapping a vector into classes by looking at input-output examples of the function.
在一个分类问题上，学习者模拟一个函数将通过查将找输入输出的用例向量映射为相应的类。
Support vector machines (SVMs) which suit to classification problem for tiny samples is designed for different shot types through the features extracted by the method.
利用所提出的特征，采用适合小样本分类问题的支持向量机(SVM)对足球视频镜头分类。
A repair rule-based data-segment algorithm is proposed for the classification problem of two kinds of data (a and b) with mutual restriction and the weight constraints.
针对权值约束、相互制约的两类数据a、B分类问题，提出一种带修补规则的数据分割算法。
Classification based on association (CBA) algorithm built a classifier based on the association rules, without considering the uncertainty in the classification problem.
关联规则分类器(CBA)利用关联规则来构造分类算法，但其没有考虑分类问题中的不确定性。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
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。
In this paper, the grey forecasting is united with the fuzzy synthetic assessment to determine the regional classification problem for the regulation and planning of groundwater quality.
本文将灰色预测与模糊综合评判相结合，解决地下水质管理和水质规划中的分区问题。
This paper presents a learning algorithm for a RBF neural network with adjustable radial basis width and discusses its application in the classification problem of share tendency patterns.
提出一个基宽度可调的RBF神经网络学习算法，并将它应用于个股走势模式的分类问题。
The screening or classification of XML documents is a common problem, especially in XML middleware.
XML文档筛选或者分类是一个常见的问题，特别是在XML中间件中。
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。
More generally, classification learning is appropriate for any problem where deducing a classification is useful and the classification is easy to determine.
更一般地说，对于那些有用的分类系统，和容易判断的分类系统，分类学习都适用。
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