efficiency of algorithm造句
例句與造句
- this prototype system implements above methods and can test validity and efficiency of algorithm
該原型系統(tǒng)基本上實(shí)現(xiàn)了上述各種方法，用于驗(yàn)證方法的有效性及測(cè)試算法的效率。 - experiment results show subvoxel accuracy can be achieved and the feasibility and efficiency of algorithms are verified
實(shí)驗(yàn)證明了文本方法的有效性和可行性,配準(zhǔn)結(jié)果達(dá)到亞像素精度。 - efficiency of algorithm is improved by restricting step size and giving up eigenvalue's clusters, the computing ti
通過(guò)限制步長(zhǎng)、拋棄特征值束的方法，提高算法效率。在矩陣規(guī)模較大時(shí)、算法的計(jì)算時(shí)間明顯比lapack少。 - the difficulty of the research lies in too large amounts of data ( severa ) gb byte or even tb byte ), and therefore the efficiency of algorithm is the key
這個(gè)問(wèn)題的主要挑戰(zhàn)性在于數(shù)據(jù)量巨大(數(shù)據(jù)庫(kù)容量達(dá)到若干gb字節(jié)，甚至tb字節(jié))，因此算法的效率是關(guān)鍵。 - it only needs to update one line or one row of data in judge matrix when time window or service time is changed while it doesn't impact executive efficiency of algorithm
當(dāng)時(shí)間窗或服務(wù)時(shí)間發(fā)生變化時(shí)，算法只需要修改判斷矩陣中的一行或一列數(shù)據(jù)，而對(duì)算法運(yùn)行的效率沒(méi)有影響。 - It's difficult to find efficiency of algorithm in a sentence. 用efficiency of algorithm造句挺難的
- that is to say, how to make algorithm effective in large dataset is same to small dataset . this measure main idea is reduce primary occupation in order to improve the efficiency of algorithm
即如何使得算法對(duì)海量的數(shù)據(jù)集同小量的數(shù)據(jù)集一樣具有很高的效率，減少內(nèi)存的限制，提高構(gòu)造分類(lèi)器的效率。 - thirdly, according as the difference of precision, we may short the steps of edge extraction and improve the efficiency of algorithm with dilation algorithm . at last, with felicitical using algorithm of scanning beam, we attain the rigor edge image with texture
2)在邊界連接中，根據(jù)對(duì)實(shí)際情況的研究，提出了一種具有通用意義邊界連接算法3)根據(jù)精度要求的不同，可以利用膨脹算法簡(jiǎn)化輪廓提取的步驟，以提高算法的時(shí)間效率。 - algorithm is the key part in kdd ， for this reason to research for efficient . on one hand, data mining is used to process large database, and so the efficiency of algorithm is the most important; on the other hand the computer in use is not satisfying to the processing of large database . consequently, we should modify present algorithm to fit the need above
一方面，數(shù)據(jù)挖掘面對(duì)的是大數(shù)據(jù)集（稱(chēng)海量數(shù)據(jù)），因此算法的效率將對(duì)其應(yīng)用起關(guān)鍵的作用；另一方面，我們面對(duì)的計(jì)算機(jī)系統(tǒng)在其性能上遠(yuǎn)遠(yuǎn)不能滿(mǎn)足對(duì)大數(shù)據(jù)集進(jìn)行處理的要求，因此我們必須研究和改進(jìn)現(xiàn)有的算法使其有更廣泛的應(yīng)用前景。 - discovery of association rules is an important class of data mining whose aim is to capture the co-occurrences of itemsets, the most important thing to do is to find the large itemsets effectively, because this is time consuming and will finally decide the efficiency of algorithms . so now the main study is emphasized on how to find the large itemsets with more and more few time
關(guān)聯(lián)規(guī)則是從歷史的大規(guī)模的數(shù)據(jù)中獲得項(xiàng)集之間的相互關(guān)聯(lián)關(guān)系，抽取出有用的和感興趣的模式，主要任務(wù)是發(fā)現(xiàn)數(shù)據(jù)庫(kù)中的大項(xiàng)集，因?yàn)檫@個(gè)任務(wù)在大規(guī)模數(shù)據(jù)庫(kù)基礎(chǔ)上是耗時(shí)的操作，所以現(xiàn)在的主要研究方向都集中在大項(xiàng)集的有效生成上。 - discovery of association rules is an important class of data mining whose aim is to capture the co-occurrences of itemsets, the most important thing to do is to find the large itemsets effectively, because this is time-consuming and will finally decide the efficiency of algorithms . so now the main study is emphasized on how to find the large itemsets with more and more few times
關(guān)聯(lián)規(guī)則是從歷史的大規(guī)模的數(shù)據(jù)中獲得項(xiàng)集之間的相互關(guān)聯(lián)關(guān)系，抽取出有用的和感興趣的模式，主要任務(wù)是發(fā)現(xiàn)數(shù)據(jù)庫(kù)中的大項(xiàng)集，因?yàn)檫@個(gè)任務(wù)在大規(guī)模數(shù)據(jù)庫(kù)基礎(chǔ)上是耗時(shí)的操作，所以現(xiàn)在的主要研究方向都集中在大項(xiàng)集的有效生成上。 - (2 ) in order to validate the efficiency of algorithm, this paper design and implement a testing, platform rule processor based on sql server . the main function of the processor is to translate the first order logic rule into embedded-sql programs, which make sql server dbms possess the capability in expressing recursive query with logic language
(2)為驗(yàn)證算法的有效性，該文設(shè)計(jì)實(shí)現(xiàn)了一個(gè)測(cè)試平臺(tái)??基于sqlserver的規(guī)則處理器，其主要功能為自動(dòng)把一階邏輯規(guī)則轉(zhuǎn)換為含有sql語(yǔ)句的過(guò)程代碼，這使得sqlserver數(shù)據(jù)庫(kù)管理系統(tǒng)有了用邏輯數(shù)據(jù)語(yǔ)言表示遞歸查詢(xún)的能力。 - moreover, based on in-depth research of " the existing scan-line polygon fill algorithm, the author has introduced a new fast method for clipping arbitrary boundary areas algorithm which uses the edge consistency and the scan-line consistency and adopts sorted chain table, i t can reduce the quantity of calculating intersection points and improve the efficiency of algorithm
另外，作者在對(duì)已有的掃描線(xiàn)填充算法深入研究的基礎(chǔ)上，介紹一種利用裁剪區(qū)域的邊的連貫性和掃描線(xiàn)的連貫性，從而減少求交計(jì)算量、提高算法效率的有序鏈表的快速裁剪算法。 - algorithm is the key part in kdd, for this reason to research for efficient . on one hand, data mining is used to process large database, and so the efficiency of algorithm is the most important; on the other hand the computer in use is not satisfying to the processing of larag database
一方面,數(shù)據(jù)挖掘面對(duì)的是大數(shù)據(jù)集(稱(chēng)海量數(shù)據(jù)),因此算法的效率將對(duì)其應(yīng)用起關(guān)鍵的作用;另一方面,我們面對(duì)的計(jì)算機(jī)系統(tǒng)在其性能上遠(yuǎn)遠(yuǎn)不能滿(mǎn)足對(duì)大數(shù)據(jù)集進(jìn)行處理的要求,因此我們必須研究和改進(jìn)現(xiàn)有的算法使其有更廣泛的應(yīng)用前景。