rdf模型有很多不同的序列化方式，专门针对主题定义和分类的dita图可以当作SKOS模型的一种序列化方式。
Variant serializations of RDF models are legion, and a DITA map that's specialized for subject definition and classification could be regarded as an alternative serialization of a SKOS model.
不过基于16srRNA序列的分类树却对医学的贡献越来越大，主要体现在两个方面。
However, 16s rRNA-based phylogenetic trees are increasingly leading to advances in medicine, primarily in two ways.
另外，结合一类分类方法和相空间重构理论，提出一种时间序列中的异常值检测方法。
In addition, a new method of outlier detection in time series is proposed by combination of phase space theory and one-class classification method.
本文对时间序列模式、分类规则和关联规则挖掘的方法进行了深入的研究。
In this thesis, the thorough study of time serial model, classification rule and association rule is made.
论文结合相空间重构理论与一类分类方法提出一种时间序列中的异常值检测方法。
A new method of outlier detection in time series is proposed in this paper, which is based on phase space reconstruction theory and one-class classification method.
该网络从输入语音信号的特征矢量序列中提取出一组固定数目的特征矢量，然后将这特征矢量馈入神经网络分类器进行识别。
It picks up the character vectors of a group of Numbers from the sequence of the character vectors of the input speech signals, and then put the vectors into the NN sorter to recognize.
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。
Based on the semantic chunking result, the Chinese SRL can be changed into a sequence labeling problem instead of the classification problem.
根据不完全的初始类进行EST序列分类将会导致类缺失，出现错误的结果，而且还费时费力。
The classification according to the inadequate original EST sequence often results in the class deficiency, and appears the wrong results.
本文采用一种基于蚁群算法的分类规则挖掘算法，其特征实质上是一种序列覆盖算法。
The paper proposed an algorithm based on ant colony algorithm for mining classification rule from the Student Scores Management Database.
因此，CYP86MF基因的核苷酸及其可能编码的氨基酸序列差异属间较种间大，它可用于属间的分类等级研究。
It was concluded that CYP86MF gene was applicable to genus taxon because the differences of sequences in nucleotides and amino acids were lower (between) species than genera.
文中提出将传感器阵列时间序列信号直接输入到一种具有丰富动力学特性的嗅觉神经网络中进行模式分类的方法。
This paper presents a novel method directly dealing with time series of the sensors responses based on an olfactory neural network with many dynamic properties.
文章对建筑空间序列中常见的节奏状况进行初步分类，探讨节奏的表现意义。
The essay makes initial discussions of different kinds of rhythms in architectural spatial sequence to approach to the practical significance of rhythms.
本文研究了基于RCS序列的空间目标运动姿态判决、特征提取以及分类识别方法。
Moving statues adjudgement, character extraction and target classify methods of space targets based on RCS sequences are discussed in this paper.
该方法利用相似系数在各构件的耐久性指标序列之间进行相似性度量，并形成了具有分类功能的模糊等价矩阵。
The method measures the similarity of durability index series of components by the use of similarity coefficient and forms a fuzzy equivalence matrix with sort function.
一种实用的恒星分类法是基于测得的光谱类型序列。
A convenient classification of stars is based upon the observed sequence of spectral types.
结果：脱氧核糖核酸序列分析可有效地用于金银花品种的分类与鉴别。
Result: RAPD is effective in classifying and distinguishing the varieties of Lonicera japonica.
通过训练后，将20个未分类的人工序列样本和1 82个自然序列样本提取特征形成特征向量并输入两个网络进行分类。
After the training, characters are extracted from the2 0 unclassified artificial sequence samples and1 82 natural sequence samples to form the character vectors as input of the two NN for clustering.
再利用平均CSR匹配置信度和一个规则匹配算法构建有效的序列数据分类器。
Then an effective sequential data classifier is constructed using average CSR matching confidence and a rule-matching algorithm.
并给出了两种构造多维时间序列分类的决策树模型算法。
Two algorithms for structuring decision tree model of multi-dimensional time series classification were presented.
分析了基于记忆库混沌时间序列预测方法，引入一种改进核函数的支持向量机分类器。
Secondly the prediction technology of chaotic time series is studied based on memory-based predictor.
提取网络入侵模式所用的主要有分类算法、关联规则算法和序列规则算法等。
Major methods to distill network intrusion mode are class algorithm, association rule algorithm and frequent episodes algorithm.
该方法通过对时间序列排序模式进行分类，来实现复杂的概率分布估计，从而直接估计出时间序列的信息量。
The proposed method calculates the probability distribution of time series based on the classification of order patterns to directly estimate the amount of information in time series.
该方法首先利用HMM生成最佳语音状态序列，然后用函数逼近技术产生对最佳状态序列进行时间规正，最后通过RBF神经网络进行分类识别。
Here, the HMM is employed to produce a best speech state sequence which is warped to a fixed dimension vector and the RBF neural network is used as classifier.
DNA条形码是一段特殊的、可用于物种鉴定的DNA序列，是近几年来国际上生物分类学研究的热点。
DNA bar code, a special DNA sequence used in species identification, has become a focus in biological taxonomy research in recent years.
同源序列功能分类大致分为11类，与蛋白质合成有关的蛋白所占比例最大。
These ESTs were classified into 11 different functional categories, the highest proportion of which was related to protein synthesis.
同源序列功能分类大致分为11类，与蛋白质合成有关的蛋白所占比例最大。
These ESTs were classified into 11 different functional categories, the highest proportion of which was related to protein synthesis.
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