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linear classification中文什么意思

發(fā)音:   用"linear classification"造句
  • 線性分類
  • linear:    adj. 1.線的,直線的。 2.長度的。 3.【數(shù)學(xué)】 ...
  • classification:    n. 1.選別;分等,分級;分選。 2.【動、植】分類( ...
  • linear discrimination classification:    線性判別分類
  • classification:    n. 1.選別;分等,分級;分選。 2.【動、植】分類(法)。 〔分類級別為: phylum 【動物;動物學(xué)】及 division 【植物;植物學(xué)】門,class 綱,order 目,family 科,genus 屬,species 種,variety 品種〕。 3.類別;等級;(文件的)保密級。 a classification yard (車站的)調(diào)車場。
  • be linear with:    與...成線性關(guān)系
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例句與用法

  1. Non - linear classification in many research fields is very difficult . so not only good classified decision but also good method of feature extraction need to be studied
    非線性問題是很多學(xué)科研究當(dāng)中經(jīng)常遇到的困難,不僅要研究較好分類決策,而且要研究較好的特征提取方法。
  2. The quantity of convex hull is as less as possible . this algorithm can be applied to non - linear classification , neural classification algorithm ( including bp and rbf ) and 2d image filling for sample points
    該算法的實現(xiàn),可以應(yīng)用于非線性分類,神經(jīng)網(wǎng)絡(luò)分類學(xué)習(xí)(包括bp , rbf ) ,以及二維圖像散亂點的填充。
  3. Then we go to details of the ideas of compression algorithms based on ifs theory , such as range block search , fixed threshold , adaptive threshold , linear classification , and so on
    這些算法包括:全局分塊搜索算法、固定門限法、自適應(yīng)門限法、線性分類法、四分之一塊灰度排列法和基于塊合并的壓縮算法。
  4. Relying on the theorem of graham , the sample points are realized the minimal convex hull which computational complexity is o ( nlogn ) . last a new feature extraction - convex - body segmentation and approximation of scattered sample for non - linear classification based on the knowledge of computing geometry and discrete mathematics is presented . new algorithm guarantees that every convex hull is unintersectant . both convex hull between the same classes and convex hull between the different classes are unintersectant
    在此基礎(chǔ)上,借助計算幾何和離散數(shù)學(xué)等相關(guān)知識,為非線性分類問題中的特征提取提出新的思路-散亂樣本凸體分割與逼近算法,算法保證了兩類樣本形成的凸包兩兩互不相交,即同類樣本之間、同類和異類之間形成的凸包互不相交,并且凸包數(shù)量逼近最少,為非線性分類提供了新的研究思路。
  5. Secondly , a measure of a gene set is proposed for evaluating the expression level difference of the genes in the set , which is a combination of the fisher linear classification and the t - statistic method and give a relevance value to every gene in the set as well as to the whole gene set
    第二,提出了一個度量基因集合表達(dá)差異性的測度fldt ,該測度將fisher線性分類與t - statistic相結(jié)合,不但能夠給出基因集合整體進(jìn)行評價,而且同時能夠?qū)现忻總€基因的進(jìn)行評價。

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