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nonparametric estimation中文什么意思

發(fā)音:   用"nonparametric estimation"造句
  • 非參數(shù)估計(jì)
  • estimation:    n. 1.估計(jì)，評(píng)價(jià)。 2.預(yù)算，預(yù)算額；概算。 3.尊 ...
  • nonparametric bayesian estimation:    非參數(shù)貝葉斯估計(jì)
  • nonparametric:    非參數(shù)
  • estimation:    n. 1.估計(jì)，評(píng)價(jià)。 2.預(yù)算，預(yù)算額；概算。 3.尊重，尊敬。 4.意見，判斷。 5.【化學(xué)】估定；測定。 in my estimation 據(jù)我估計(jì)，我認(rèn)為。 in the estimation of the law 從法律上來看。 full [rise] in the estimation of the public 在公眾心目中的評(píng)價(jià)下降[上升]。 held in high estimation 極受尊重。
  • nonparametric classification:    非參數(shù)分類
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例句與用法

  1. A wavelet network model for nonparametric estimation and economic forecasting
    非參數(shù)估計(jì)的小波網(wǎng)絡(luò)經(jīng)濟(jì)預(yù)測模型
  2. Local polynomial estimation method is a kind of a nonparametric estimation methods which are based on data - analytic approaches
    局部多項(xiàng)式方法是基于數(shù)據(jù)來選擇模型的一種非參數(shù)方法
  3. For many practiced instances , the type of the probability density function is unknown . so density estimation is nonparametric estimation
    對(duì)于很多實(shí)際情況， hmm密度函數(shù)所屬類型并不知道，此時(shí)的密度估計(jì)就是典型的非參數(shù)估計(jì)問題。
  4. At last , combining the related knowledge of wavelet theory and hidden markov models , we introduce wavelet transformation for nonparametric estimation of hmm ' s and discuss how to choose resolving scale of haar - wavelet orthogonal series " estimation
    最后，結(jié)合小波理論和隱馬爾科夫模型的相關(guān)知識(shí)，將小波變換應(yīng)用到隱馬爾科夫模型非參數(shù)估計(jì)問題中來，并探討了其中haar小波正交級(jí)數(shù)估計(jì)量分解尺度的選取。
  5. By using the least square method and the weighted function method of nonparametric estimation together , this paper defines the wavelet estimators of and g ( ? ) . but the weighted function here is not in the common weighted functions , which include kernal weighted function and nearest neighbor weighted function . however , it is a kind of weighted function deduced by wavelet method , so we call it wavelet weighted function here
    本文采用了半?yún)?shù)估計(jì)常用的辦法之一? ?最小二乘法結(jié)合非參數(shù)權(quán)函數(shù)估計(jì)法定義了參數(shù)分量和非參數(shù)分量的估計(jì)，這里的權(quán)函數(shù)不是通常所采用的核權(quán)函數(shù)或近鄰權(quán)函數(shù)，而是由小波方法所得到的權(quán)函數(shù)，我們稱它為小波權(quán)函數(shù)。

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