recall method 中文意思是什麼
recall method
解釋
回想法-
The property of the recall - precision curve of a general retrieval algorithm and the k - means clustering method are used to realize the expansion according to the distance of image features of the initially retrieved images
擴展主要利用了一般檢索演算法的查準率查全率曲線特點，對原始查詢結果的圖像特徵距離應用k -均值聚類演算法，確定多個查詢示例圖像。 -
For leaming largerscales texts corpus by svm, it is bohant that decomposihon method optanises the svm with respect to subsets and recursively solves the whole svm. the c a estiinator based on leave - one - out test can perform emciently and effectively estiinating in term of error rate, precision, recall and f1
針對超大規模文本庫的訓練與評估問題，採用分解演算法，迭代求解，然後利用基於leave - one - out技術的評估方法快速有效地計算錯誤率、準確率、召回率和f _ 1指標。 -
A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts, instead of the term frequency, to representing the contents of a document. consequently, a formalized document framework is proposed. the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance. the framework consists of two parts : the " domain " information and the " situation background " information of a document. a document - extracting algorithm and a two - stage smoothing method are also proposed. the quantification of the similarity between the query and the document framework depends on the smoothing method. the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks. the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones
為了獲取詞語在文章中的語義權重，解決詞語的同義、多義模糊問題，提升信息檢索的效率，提出了一種基於概念的檢索模型，模型中設計了一種形式化的文本內容表示框架，框架由2部分構成:文章的"領域"以及"情景與背景"信息，並由概念（形式化語義）加以表示.同時，提出了提取該概念框架的方法，給出了用於框架與檢索要求間匹配的兩階段平滑演算法.實驗表明，在trec6提供的小規模語料集下，採用所提出方法的信息檢索模型與傳統模型相比，平均召回準確率提升了約10 ? ，效果顯著，充分說明了基於本文描述方法構建的、以概念作為處理中介的信息檢索系統的有效性和可行性 -
I already introduced a portion of the proposed xml encryption api in part 1. recall that i had a method named
在第1部分中，我已經介紹了被提議的xml加密api的一部分內容。 -
Through discussing such core technologies in the automatic processing of chinese information as automatic word segmentation, feature selecting and automatic representation of texts, the thesis makes some improvements and perfection on the current methods of automatic word segmentation and text space reduction of chinese texts, therefore improved their efficiencies and effects. with regard to the methods of text classification, the paper introduced two supervisory automatic classification methods of chinese texts based on multi - classification, i. e. fuzzy clustering and boosting, which settled the problem of low percentage of recall. through comparing the results of experiments with the two methods, an automatic classification system of multi - classification texts is constructed based on the boosting method, which received good effects in application and provides a good resolution to the problem of real - time classification of information
通過對漢語信息自動處理中自動分詞、特徵提取、文本自動表示等核心技術討論，對目前漢語文本自動分詞和文本降維方法中的不足和缺陷作了改進，提高了分詞和文本分類的效率和效果；在文本自動分類方法上，介紹了兩種有監督的基於多類的漢語文本自動分類處理方法? ?模糊聚類方法和boosting方法，解決了實踐中文本分類查全率不高的問題；通過對兩種方法的實驗比較結果，構建了基於boosting方法的多類文本自動分類系統，在實際應用中收到了良好的效果，較好的解決了信息的實時分類問題。 -
Simple recall method
簡單回憶法 -
For coping with this disadvantage, we put forward a sample selecting method without model. in this method, we selected a subset from unlabeled sentences which had a similar syntactic rule distribution to the set of all sentences, so the precision and recall of the parser trained by the labeled subset would be similar to the result of parser trained by all sentences, and the labor of labeling would be less
因為這個子集包含的句法規則分佈能近似於原句子集的句法規則分佈，所以這個子集標注后訓練的句法分析器的精確率和召回率近似於用原句子集標注后訓練的句法分析器的精確率和召回率，而標注子集所需的人力比標注原句子集所需的人力小。 -
First, we present the equivalent variatial formulations of the least - squares mixed method and prove the existence and uniques for the weak problems. on the basis of l2 - projections and raviart - thomas projections, we obtain the superconvergence of the least - squares mixed finite element approx - imations on uniform triangulations, where triangular mixed finite elements of the lowest order raviart - thomas spaces are used to approximate the flux p. in the second chapter, we briefly recall the standard and mixed finite methods for second order elliptic problems, and introduce a modified least - squares mixed method
作者首先導出了最小二乘混合元方法的等價變分形式，並且證明了變分問題廣義解的存在唯一性；在此基礎上，我們採用強一致三角形剖分，選取最低階的raviar - thomas空間對未知函數的通量進行逼近，利用l ~ 2投影和raviart - thomas投影，得到了插值投影和最小二乘混合元解之間的超收斂結果。 -
Meanwhile, we present the method of designing multi - class classifier. to solve the problem of some images ’ poor quality, we give the standard to estimate the performance of utterance rejection method : utterance rejection accuracy and recall rate. and we bring forward the utterance rejection method based on voting threshold and analyze the performance of our algorithm
為了比較svm的識別性能，本文也採用了基於混合高斯模型的車牌字元識別演算法，給出了基於gmm的分類器的訓練和識別的演算法，提出了基於概率密度的拒識演算法，並就識別準確率和拒識性能與svm進行了比較。 -
Some results on geometric lattice are involved in the present paper. here we recall some definitions and facts from geometric lattice, and then by the method of decomposition form of idempotent matrix over a finite field, one geometric lattice is obtained. at the same time, the present paper compute the characteristic polynomial and the parameters that involved in the geometric lattice
本文得到了構造幾何格方面的一些結果，其中第一部分介紹幾何格理論的基本概念；第二部分利用有限域f _ q上冪等陣的分解形，構造了一個幾何格，並計算出該幾何格的特徵多項式及相應的一些參數。 -
Sometimes, precision and recall are used to evaluate the result of text classification, but the evaluation method in common use is accuracy
在文本分類領域，有時也採用查全率和查準率作為評價指標，但更常用的是分類正確率。 -
The method sufficiently considers the horizon related feature of characters in grad image, which gets a better recall ratio in the experiment
該方法充分考慮了梯度圖像中車牌字元的水平相關特徵，實驗中得到了很高的車牌召回率。 -
The method make the loss of the relevant information decrease and make the recall ratio go up. 3. controlling of the anchor - depth can make the system work more efficiently not search anchor greedily
（ 3 ）研究了檢索中基於深度控制的鏈接過濾方法和下載控制方法，輔助新的相關信息資源的發現，使用戶可以對下載的信息量進行間接的控制，搜集到相關度更大的專題信息。 -
With the rapid development of information on the internet, around 20, 000, 000 web pages appeared, and lots of them have little entropy of intelligence. general search becomes weaker and weaker. the precision ratio and recall ratio have been declining that some special users have to look for a new method to fit their needs
隨著網際網路信息技術的迅速發展，大約每天就有2000萬的新網頁誕生，且很多網頁的信息熵不高，導致通用搜索引擎的信息覆蓋率和檢索精度都在迅速下降，因此發展面向專題的信息搜索與收集工具就成為趨勢。
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