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classification problem in Chinese

Pronunciation:
How to pronounce "classification problem""classification problem" in a sentence

Translationmobile phoneMobile

  • 分類問題

Examples

  • Discretization of continuous attributes in classification problems
    分類問題中連續(xù)屬性的離散化方法
  • Improved support vector machine for multi - class classification problems
    一種用于多分類問題的改進(jìn)支持向量機(jī)
  • Usually , the relation extraction problem was converted to a classification problem
    通常,將關(guān)系抽取問題轉(zhuǎn)化為一個(gè)分類問題。
  • Fuzzy classification systems can deal with perceptual uncertainties in classification problems
    模糊分類系統(tǒng)可以處理分類問題中資料的不確定性。
  • Because the structure is simple , pnn is an effective model for many classification problems and many pattern recognitions
    Pnn的拓?fù)浣Y(jié)構(gòu)簡(jiǎn)單,容易設(shè)計(jì)算法,廣泛應(yīng)用于模式識(shí)別及模式分類領(lǐng)域
  • As solving other classification problem , we firstly research on the feature extraction of relation extraction problem , viz
    與解決其他分類問題一樣,本文首先對(duì)關(guān)系抽取問題中的特征提取進(jìn)行了研究。
  • And two types of problems are applied based on the agent - based approach : the nonlinear system approximation problem and the classification problem
    最后，基于智能體的進(jìn)化算法補(bǔ)應(yīng)用于非線性系統(tǒng)模擬問題和分類問題中。
  • This thesis presents two simple methods to select kernel ' s parameters for classification problems and regression problems respectively . the construction of kernels
    本文分別針對(duì)模式分類和函數(shù)逼近兩類問題，給出了對(duì)核函數(shù)參數(shù)進(jìn)行選擇的簡(jiǎn)便方法。
  • Lorenz system and mackey - glass time series are the examples for nonlinear system approximation problems , while iris data and wine data are taken as examples for classification problems
    分別是二階非線性工廠模型， lorenz系統(tǒng)， mackey - glass時(shí)間序列， iris數(shù)據(jù)集和wine數(shù)據(jù)集。
  • Clusen is applied on neural networks to solve the multiple classification problems , the experimental results on uci data sets show that clusen computes more efficiency than gasen proposed before
    結(jié)果表明，該技術(shù)計(jì)算效率高，精度與穩(wěn)健性也與基于遺傳算法的選擇性集成方法相當(dāng)甚至占優(yōu)。
  • More examples：  1  2  3

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