conditional recognition

英 [kənˈdɪʃənl ˌrekəɡˈnɪʃn] 美 [kənˈdɪʃənl ˌrekəɡˈnɪʃn]

附条件的承认

法律



双语例句

  1. The "discrete states assumption" and "conditional independent assumption" are two main limitations in standard hidden Markov model for speech recognition.
    经典隐马尔可夫模型用于语音识别存在的两个主要缺陷是离散状态假设和独立分布假设。
  2. Through a great deal of different conditional experiments, this kind of calculation method is proved that it is very valid for the pointer angle recognition.
    经过大量不同条件的实验,证明这种算法对于指针角度的识别是十分有效的。
  3. So, we introduced four kinds of Chinese Named Entity recognition techniques in the paper, including rule-based method, Hidden Markov Model ( HMM), Maximum Entropy ( ME) and Conditional Random Fields ( CRF).
    为此,文中主要说明了四种中文命名实体识别方法,包括规则、隐马尔可夫模型(HiddenMarkovmodel,HMM)、最大熵模型(MaximumEntropy,ME)和条件随机域(conditionalrandomfields,CRF)。
  4. In this paper, a new probabilistic model, conditional random fields ( CRF), which is very fit for labeling sequence data, is firstly introduced to the task of Chinese named entity recognition ( CNER).
    首次把条件随机域(CRF)模型应用到了中文名实体识别中,且根据中文的特点,定义了多种特征模板。
  5. By comparison study, reach the following conclusion: that is conditional recognition and empowerment of de facto marriage legal effect, as a de facto marriage has been to provide a legal relationship between the parties means relief is the common practice in all countries.
    通过比较法考察,得出如下结论:即有条件承认和赋予事实婚姻法律效力,为已具有事实婚姻关系当事人提供法律救济手段是各国的普遍做法。
  6. Theoretical analysis states clearly that in case of weighing the consistency of decision system, this measure criterion and the conditional entropy has something in common on recognition, and this measure criterion is also equivalent to the relative regular domain.
    理论分析表明在衡量决策系统一致性程度问题时,该度量标准与条件熵具有相同的判别作用,与相对正域等效。
  7. On account of the field specificity, we mainly adopt the method of knowledge-table-assisted machine learning and choose Conditional Random Fields ( CRF) as the statistical model. Firstly, named entity recognition is regarded as the basis of information extraction.
    基于领域特点,我们在实验中主要采用知识表辅助机器学习的方法,统计模型选用了条件随机场(CRF)。命名实体识别是信息抽取的基础。
  8. Finally we design different classifiers to achieve preliminary recognition of the main objects. Fifthly, because low level feature ignores the relationship among objects, we propose the conditional random fields based on multi-classifier object preliminary recognition.
    第五,针对基于中低层特征构造的分类器对物体识别时忽略了物体间的相关性,提出基于多分类器初步识别基础上的条件随机场模型。