question vector
英 [ˈkwestʃən ˈvektə(r)]
美 [ˈkwestʃən ˈvektər]
提问向量
双语例句
- So, now we can answer the initial question because vector OP, well, we just add up OA, AB, and BP.
现在我们可以回答最初的问题了，我们把OA，AB和BP加到一起。 - ` A Question about Zero Vector and Developing Divergent Thinking
以零向量问题为例浅谈发散性思维的培养 - It depends what the problem is asking The question is, is it enough to find the components of a vector or do we have to find the equation of a line?
这都是根据题目要求而定的，有一个问题是，找出向量的分量就足够了吗？，还是说我们需要解出一条直线的方程？ - Well, the question we have now is what is the area of this little piece of surface and what is its normal vector?
现在的问题是，曲面上这一小块儿的面积是什么，及其法向量是什么？ - We may be able to answer their question without disclosing proprietary information about the vector.
我们可能能够回答他们的问题没有披露有关专有信息的载体。 - The question is, if I have a conservative, or path independent vector field, why is it the gradient of something?
现在的问题是，如果有一个保守的，或者路径独立的向量场，那它是某个东西的梯度吗？ - Clear a Question about Method of Calculus of Characteristic Vector
澄清计算特征向量的一个问题 - Then constantly searching the question territory space based on vector similarity to obtain the best feature vector.
基于向量相似度不断搜索问题域空间，使其不断得到进化，逐步得到Web文本的最优特征向量。 - A technology of fine structural interpretation and analysis, which uses knowledge base built on expert experience, geological knowledge and dip arrow pattern theory, is provided to resolve the question in which one combination vector pattern can correspond to more than one structural types.
根据专家经验、地区知识和倾角模式理论所建立的知识库进行的交互式精细构造解释和分析解决了倾角测井构造解释的多解性问题，保证倾角解释的正确性； - This algorithm, in the incremental study question, is more effective than the traditional support vector machine, with assuring the classify accuracy.
本算法在保证分类准确度的同时，在增量学习问题上比传统的支持向量机有效。 - The thesis aims at the question that segmentation consistency of the large-scale corpus, firstly adopts the segmentation consistency collation method on the basis of rule and on the basis of support vector machine to analyze testing corpus separately, then adopt the combined method to test again.
本文针对大规模语料库分词一致性存在的问题，首先分别采用基于规则和采用基于支持向量机的分词一致性检验方法来对测试语料进行分析，然后采用将两者相结合的方法来重新测试。 - The degree of similarity of the question sentence is calculated on the basis of the similarity of the semantic chunk vector structure.
在语义块向量结构相似的基础上计算问句的相似度。 - Shortcut Of Calculation Question In Vector Space
向量空间计算问题的捷径 - Considering the special structure of question database, a vector space search model based on text segment is adopted. An improvement on the traditional TF-IDF formula is made, and local similarity and global similarity are combined to sort the search results.
针对题库结构的特殊性，采用了基于文本段的向量空间搜索模型，对传统的TF-IDF公式做了改进，并使用局部相似度和全局相似度相结合的方法实现搜索结果的排序。 - For each user question, it is also mapped into the feature space and the similarity between the question vector and each category vector is calculated.
对于每个用户问题，首先也将其映射到特征空间中，然后计算问题和各个类别的相似度，最终将具有较高相似度的几个类别推荐给用户。 - Secondly, change every question sample feature vector in source domain for the feature which is common feature or similar feature in target domain.
然后改变源领域的每一个问句特征向量，使其特征词改变为目标领域共现或者相似特征词。 - However, there are still many question demanding further researches, such as selection of feature vector and online learning on samples of unknown clustering numbers.
综上所述，本文从图像特征流形问题出发提出的相关学习算法取得了一些成绩，但仍然存在许多问题需进一步研究，例如对于特征向量的选择，对于未知聚类数目的样本的在线学习等。