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   语义计算 在 自动化技术 分类中 的翻译结果: 查询用时:0.082秒
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语义计算
相关语句
  semantic computation
    In the process of relativity judging between URL and topic, semantic computation based on HowNet is presented to explore the relativity. Combine with content based crawling strategy and linked structure crawling strategy, present SPageRank (Semantic PageRank) algorithm which applied extended metadata semantic relevance algorithm for choosing and predicting URL that is relevant to the topic.
    在URL的主题相关性判别过程中,以“知网”为基础引入了词汇的语义计算,从语义和概念层对文本进行主题相关性分析,将基于内容评价的搜索策略和基于Web链接结构的搜索策略相结合,给出了一种改进算法SPageRank(Semantic PageRank),通过对扩展元数据进行主题相关性判定来选择、预测与主题相关的URL。
短句来源
  semantic computation
    In the process of relativity judging between URL and topic, semantic computation based on HowNet is presented to explore the relativity. Combine with content based crawling strategy and linked structure crawling strategy, present SPageRank (Semantic PageRank) algorithm which applied extended metadata semantic relevance algorithm for choosing and predicting URL that is relevant to the topic.
    在URL的主题相关性判别过程中,以“知网”为基础引入了词汇的语义计算,从语义和概念层对文本进行主题相关性分析,将基于内容评价的搜索策略和基于Web链接结构的搜索策略相结合,给出了一种改进算法SPageRank(Semantic PageRank),通过对扩展元数据进行主题相关性判定来选择、预测与主题相关的URL。
短句来源
  “语义计算”译为未确定词的双语例句
    Deep-seated Semantic Computing of Semantic Neural Network is that continue to use Deep-seated Semantic knowledge embed in neuron, and through each other's communication and inside computing to finish this processing.
    语义神经网络的深层语义计算则是被激活的神经元继续使用嵌入其中的深层语义知识,通过彼此通讯和内部计算来完成的处理。
短句来源
    The result of Deep-seated Semantic Computing in whole Semantic Neural Network is a result of nature language understanding.
    在整个语义神经网络上深层语义计算的结果就是自然语言理解的结果。
短句来源
    Variety on the basis of the Deep-seated semantic knowledge, we classify to Deep-seated Semantic Computing, and different Deep-seated semantic knowledge use different computing technologies to deal with.
    基于深层语义知识的多样性,我们对深层语义计算进行了分类,不同的深层语义知识使用不同的计算方法进行处理。
短句来源
    So we design a fact base and a rule base for each neuron, the fact base is used to store the Deep-seated semantic knowledge of the neuron, it will activate a corresponding Deep-seated semantic computing method each timewhile facts activate a rule.
    因此我们为每个神经元设计了事实库和规则库,事实库用以存储神经元的深层语义知识,每激活一条规则就激活了相对应的深层语义计算方法。
短句来源
    As the semantics model of logic program,the matching rule of new lymphocytes is to compute the stable model of lymphocytes and antigens.
    基于逻辑程序的稳定模型语义学,用稳定模型语义计算作为新的淋巴细胞的匹配算法。
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  semantic computation
Despite their other similarities, the frameworks of Derivational Minimalism and Resource Logic differ in the method of semantic computation.
      
Semantic computation is guided by the derivation tree and consists of adding feature value equations to the descriptions.
      
It is proved that semantic computation is promising in novelty detection.
      
After semantic computation they are no longer relevant; they are not part of the semantic representations that finally get interpreted.
      
This approach works in the problematic cases and it has the advantage of using a well-defined operation, unification, for semantic computation.
      
更多          
  semantic computation
Despite their other similarities, the frameworks of Derivational Minimalism and Resource Logic differ in the method of semantic computation.
      
Semantic computation is guided by the derivation tree and consists of adding feature value equations to the descriptions.
      
It is proved that semantic computation is promising in novelty detection.
      
After semantic computation they are no longer relevant; they are not part of the semantic representations that finally get interpreted.
      
This approach works in the problematic cases and it has the advantage of using a well-defined operation, unification, for semantic computation.
      
更多          
  semantic computing
Human enforced semantic computing are common in data processing environment.
      
It is designed keeping in mind the recent developments in semantic computing and knowledge representation.
      


In order that the probabilistic logic reasoning under uncertainty can be used for large scale knowledge base, this paper presents a clustering algorithm for decomposition of probabilistic logic formula set based on the general consistence assigning algorithm for probabilistic logic and the experience of developing the knowledge base in an practical expert system. It ensures that the united model of Dantzig Wolfe decomposition can be used for probabilistic logic reasoning on probabilistic logic knowledge...

In order that the probabilistic logic reasoning under uncertainty can be used for large scale knowledge base, this paper presents a clustering algorithm for decomposition of probabilistic logic formula set based on the general consistence assigning algorithm for probabilistic logic and the experience of developing the knowledge base in an practical expert system. It ensures that the united model of Dantzig Wolfe decomposition can be used for probabilistic logic reasoning on probabilistic logic knowledge base with different background, provided the formula set hold certain hierarchical structure. Experiments show that the algorithm performs successfully on instances with dozens of variables and clauses.

在自然语言理解中,时间是一个重要的语境因素.本文提出一种独立于句子表层形式的多层次时间语义结构,浅层语义结构是时间描述的量化语义表示,深层语义结构描述事件的动态属性和存在特征.该时间语义模型能表示时刻和时段,将时间基点明确区分为物理时间基点和说话者时间基点,并提供通用的时间语义计算方法,将各语言的时间描述映射到时间轴上.在该模型基础上,从语义观点出发,建立时、体的可计算模型及各事件时间相关性计算模型.

There are many semantics in digit sequence antigen space.It can improve the accuracy of system detection to recognize upon the semantics of antigens.Based on the interval temporal of antigens,this paper founds a interval temporal model of lymphocytes with extended logic programming using first logic as description of antigens and lymphocytes.As the semantics model of logic program,the matching rule of new lymphocytes is to compute the stable model of lymphocytes and antigens.Based on GILP,this paper introduces...

There are many semantics in digit sequence antigen space.It can improve the accuracy of system detection to recognize upon the semantics of antigens.Based on the interval temporal of antigens,this paper founds a interval temporal model of lymphocytes with extended logic programming using first logic as description of antigens and lymphocytes.As the semantics model of logic program,the matching rule of new lymphocytes is to compute the stable model of lymphocytes and antigens.Based on GILP,this paper introduces an evolutionary algorithm of the new lymphocytes.

数字序列抗原内部存在许多语义特征,针对抗原进行语义识别可以提高系统检测的准确性。基于抗原的相对时序关系,该文采用了一阶逻辑作为抗原和淋巴细胞的基本描述语言,以扩展逻辑程序构造淋巴细胞的时间语义逻辑模型,给出了淋巴细胞的逻辑表示形式。基于逻辑程序的稳定模型语义学,用稳定模型语义计算作为新的淋巴细胞的匹配算法。借鉴遗传归纳逻辑程序GILP的基本思想,给出了新的淋巴细胞的演化算法。

In this paper, we present the formalized definition of Semantic Neural Network, the neurons in it and the deep semantic computing on it. Based on the characteristics of the deep-seated semantic computing which needs distributed parallel processing, we use a multithreading technique to simulate and actualize synchronized parallel processing. We describe how to use a single thread of multi-thread to actualize the independent running of neurons, and how to use the synchronized mechanism in multi-thread to actualize...

In this paper, we present the formalized definition of Semantic Neural Network, the neurons in it and the deep semantic computing on it. Based on the characteristics of the deep-seated semantic computing which needs distributed parallel processing, we use a multithreading technique to simulate and actualize synchronized parallel processing. We describe how to use a single thread of multi-thread to actualize the independent running of neurons, and how to use the synchronized mechanism in multi-thread to actualize the transfer of information between neurons.

本文依照语义神经网络、语义神经元及其上深层语义计算的形式化定义,基于深层语义计算需要分布式并行处理的特点,提出运用多线程技术来模拟实现神经元的同步并行计算。我们描述了如何利用多线程中单个线程实现神经元的独立自主运行,以及如何利用多线程中的同步机制实现神经元之间的消息传递。

 
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