linear classification造句
例句與造句
- 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科研究當中經(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。 - 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),可以應用于非線性分類,神經(jīng)網(wǎng)絡分類學習(包括bp , rbf ) ,以及二維圖像散亂點的填充。 - 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。 - 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
在此基礎上,借助計算幾何和離散數(shù)學等相關知識,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。 - 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差異性的測度fldt ,該測度將fisher線性分類與t - statistic相結合,不但能夠給出基因集合整體進行評價,而且同時能夠?qū)现忻總€基因的進行評價。 - It's difficult to find linear classification in a sentence. 用linear classification造句挺難的