• 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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