无监督的的英文

• unsupervised

• "无"英文翻译    not have; there is not; be w ...
• "监督"英文翻译    supervise; superintend; cont ...
• "的"英文翻译    4次方是 The fourth power of 2 i ...
• "无监督的分类" 英文翻译 :    unsupervised classification
• "监督的" 英文翻译 :    supervisory; surveillant
• "无监督分类" 英文翻译 :    unsupervised classification
• "无监督学习" 英文翻译 :    unsupervised learning
• "无监督分类法" 英文翻译 :    unsupervised classification
• "大监督的" 英文翻译 :    archiepiscopal
• "副监督的" 英文翻译 :    archidiaconal; suffragan
• "无人监督的" 英文翻译 :    unsupervised
• "有监督的" 英文翻译 :    supervised
• "受监督的释放" 英文翻译 :    supervised release
• "需要监督的人" 英文翻译 :    person in need of supervision; pins
• "有监督的措施" 英文翻译 :    controlled measures
• "有监督的禁止" 英文翻译 :    controlled prohibition
• "管理监督的审查" 英文翻译 :    review and test of management control
• "监督的幅度或界限" 英文翻译 :    limit of control or span of control
• "监督的和检验角色" 英文翻译 :    supervisory and monitoring roles
• "设计的,工程监督的" 英文翻译 :    engineered
• "受保障监督的设施" 英文翻译 :    safeguarded facility
• "充分发挥民主监督的作用" 英文翻译 :    fully strengthen the role of democratic supervision
• "负责国家监督的国务部长" 英文翻译 :    minister of state in charge of state control
• "负责部务和监督的办公厅副主任" 英文翻译 :    assistant director general ministry affairs and supervision; assistant director-general ministry affairs and supervision; assistant director-general, ministry affairs and supervision
• "未接受保障监督的燃料循环活动" 英文翻译 :    unsafeguarded nuclear fuel cycle activity

• This approach is an unsupervised , statistical , data - driven approach
  这种算法是一种无监督的、基于统计的、数据驱动的方法。
• Still , no matter how good any animal is with children , you should never leave them unsupervised
  当然，无论动物和儿童相处得多么好，你还是应该不要让他们在无监督的时候相处。
• This method makes use of the semantic meaning of audio keywords and the confident boundary of unsupervised scene clusters , the structured events are extracted more accurately
  该方法充分利用了音频关键字的丰富语义和无监督的场景的可靠边界做到结构事件的准确提取。
• Because scenes have much difference in appearance , we adopt unsupervised scene clustering for its universality , which groups video shots with similar visual content into same cluster
  对于视频来说,由于存在较大的场景差异,因此采用无监督的场景聚类,达到通用性的目的。
• Clustering analysis is one of most heated research topic of the day . data clustering , a unsupervised classifying method , is the process of grouping together similar multi - dimensional data vectors into a number of clusters or bins
  聚类就是把一个没有类别标记的样本集按某种准则划分成若干类，使类内样本的相似性尽可能大，而类间样本相似性尽量小，是一种无监督的分类方法。
• Different from previous document clustering method based on nmf , our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner , companied with high accuracy in acceptable computationally expensive
  与基于nmf算法的文本聚类不同,我们的算法力求以无监督的方式,在时间复杂度允许的范围内,找到更适合于分类操作的数据向量间的几何局部特征向量及相应的各文档的编码向量。
• The application of clustering into information filtering , to a certain degree , promotes the filtering efficiency of the system , and plays an active role in the examination of the precision and recall of the text . the indeterminacy and vagueness of natural language cause difficulty to nlp
  本质上，聚类属于一种无监督的学习，将聚类技术应用于信息过滤中可以在一定程度上提高系统的过滤效率，同时也对信息过滤的查准率与查全率有积极的作用。
• The details are as follows : firstly , in order to extract audio / visual middle level features , we adopt supervised audio classification and unsupervised scene clustering to satisfy the requirement of generality . the audio is robust and supervised audio classification is general in the same type sports video
  具体来说本文的工作可以分为以下几点:首先,在体育视频中层特征提取上,本文采用了有监督的音频分类和无监督的场景聚类以适应通用性要求。
• At the same time , we optimize the method by initializing the snmf with the spherical k - means and the nnls ( non - negative least squares ) . by combination of snmf and the method lpi ( locality preserving indexing ) , we get better performance in clustering accuracy
  同时采用球形k -平均算法和nnls (非负最小平方差)算法的结果初始化snmf算法以达到改进和优化snmf算法的目的;通过结合snmf算法与lp ( i局部保留索引)算法以实现在无监督的方式下取得更准确聚类结果的算法。
• Document clustering techniques have been received more and more attentions as a fundamental and enabling tool for efficient organization , navigation , retrieval , and summarization of huge volumes of text documents . the aim of document clustering is to cluster the documents into different semantic classes in an unsupervised manner
  文本聚类作为一种对大规模文本信息进行有效地组织、导航、检索和概括汇总的关键的、基本的技术而日益受到关注,其主要目的是在语义空间里以无监督的方式将文本集中的文本划分成不同的类。