√在线天堂中文最新版网,97se亚洲综合色区,国产成人av免费网址,国产成人av在线影院无毒,成人做爰100部片

簡體版 繁體版 日本語Русский
Login Sign Up

label data in Chinese

Pronunciation:
How to pronounce "label data""label data" in a sentence

Translationmobile phoneMobile

  • 標號數(shù)據(jù)

Examples

  • The algorithms of text classification are supervised , which means the classifier training need some human labeled data of fixed classes . generally , the accuracy of classifier is higher with more labeled data . but the labeled data by hand are expensive resource
    文本分類算法是有監(jiān)督的學習算法，它需要一個分類好的，類別已標識的文本數(shù)據(jù)集訓練分類器，然后用訓練好的分類器對未標識類別的文本分類。
  • From another point , there are a great number of unlabeled documents available online . this paper approach to a novel algorithm , called iterative tfidf , which combines a large number of unlabeled data with small labeled data to train the tfidf classifier
    網(wǎng)上存在大量文本，這些文本一般都沒有類別標簽，該算法可以利用大量廉價的未標識文本，結(jié)合很少的手工標識文本，通過迭代訓練出較高精度的tfidf文本分類器。
  • To extend chinese wall policy in multilevel security environment , authors use lattice to label data , and propose an improving policy in term of aggregate system . moreover , authors present a scheme using a database based history access and linklist of aggregate dataset of interest conflict
    根據(jù)該環(huán)境中的chinese wall的利益沖突處理表現(xiàn)為數(shù)據(jù)聚合問題，利用數(shù)據(jù)標簽的格級標定，提出一種基于歷史訪問庫和利益沖突聚合鏈表的安全策略實現(xiàn)方法
  • One vital problem with text classification is how to reduce the number of labeled data while maintain the proper accuracy . this paper partly solves this problem from two different aspects . firstly , we want to deal with sparse training data by selecting high performance algorithm
    一般分類器的精度隨著訓練文本的增多而提高，但人工分類好的文本是一種昂貴的資源，文本分類算法要解決的一個重要問題是要減少訓練集中人工分類的文本數(shù)量，同時保證其精度。
  • Our research is about the classification problems on data with and without class labels attribute o classification with class label is mainly focus on dealing with noise , reconstruction of concept lattice , simplification of classification rules and a classification algorithm on class labeled data has been implemented
    有類別屬性的分類的研究的重點討論數(shù)據(jù)噪聲的處理、概念格的重構(gòu)、分類規(guī)則的簡化問題，并對其中的有確定類別屬性的相關(guān)算法進行實現(xiàn)。
  • We explored the specific machine learning technique , i . e . bayesian technique in this paper , in the hope of automatically creating such kind of metadata from training data . we assigned wsdl documents to different categories using bayesian latent semantic model . with the frame of blsm , our system classified wsdl documents only by a few of latent class variables and no labeled data
    本論文中基于貝葉斯技術(shù)的web服務(wù)分類算法的主要思想是通過引入貝葉斯?jié)撛谡Z義模型，首先將含有潛在類別主題變量的wsdl文檔分配到相應(yīng)的類主題中；接著利用樸素貝葉斯模型，結(jié)合前一階段的知識，完成對未含類主題變量的文檔作標注。

Other Languages

What is the meaning of label data in Chinese and how to say label data in Chinese? label data Chinese meaning, label data的中文，label data的中文，label data的中文，translation, pronunciation, synonyms and example sentences are provided by ichacha.net.