貝葉斯方法 的英文怎麼說

中文拼音 [bèiyèsīfāngfǎ]
貝葉斯方法 英文
bayes method of reliability demonstration testing for colour broadcasting tv receiver
  • 貝 : 名詞1 [動物學] （蛤螺等有殼軟體動物的統稱） cowry; cowrie; shellfis 2 （古代用貝殼做的貨幣） cowr...
  • 斯 : Ⅰ名詞（古代驅疫時用的面具） an ancient maskⅡ形容詞[書面語] （醜陋） ugly
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 貝葉 : （印度貝多羅 pattra 樹的葉子, 古代印度人用以寫佛經） pattra leaves
  • 方法 : method; means; way; technique; process; procedure; plan; device; recipe; fashion; tool; maneuver
  1. Tensor product - based meshless numerical method

    基於貝葉斯方法的時變可靠度分析
  2. Decision tree classification algorithm based on bayesian method

    基於貝葉斯方法的決策樹分類演算法
  3. Comparing with non - bnyain methods, it ' s prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare

    與非貝葉揚方法相比，貝葉斯方法的特出特點是其學習機制可以綜合先驗信息和后驗信息，既可避免只使用先驗信息可能帶來的主觀偏見，和缺乏樣本信息時的大量盲目搜索與計算，也可避免只使用樣本信息帶來的噪音的影響只要合理地確定先驗，就可以進行有效的學習。因此，適用於具有概率統計特徵的數據採掘和機器學習（或發現）問題，尤其是樣本難得的問題
  4. In dtaif model, our research focus on the design of student model, applying knowledge space theories to form the knowledge tree of dtaif model in knowledge representation. using bayes approach, we can find the learning deficiency

    在dtaif模型設計中，重點研究了學生模型的構建，並應用知識空間理論建立了dtaif模型的知識樹，用知識樹完成知識表示；應用貝葉斯方法進行評價診斷，找出學習的不足。
  5. At last, based on amsaa model, the sequential testing approach is presented by bayesian method, while testing analysis and evaluation in small - sample circumstances is taken into account. and the optimal sample size is evaluated in given testing circumstances

    最後，在amsaa模型的基礎上，結合小子樣試驗分析與評估技術，利用貝葉斯方法建立了可靠性增長的序貫試驗方法，並對給定條件下試驗的最優樣本量進行了評估。
  6. The stratified bayesian method for smoothing spline regression

    光滑樣條回歸的分層貝葉斯方法
  7. A bayesian approach to multiple fuzzy hypothesis testing

    多重模糊假設檢驗的貝葉斯方法
  8. Risk decision of project investment based on bayes method

    基於貝葉斯方法的項目投資風險決策
  9. An application of bayesian statistics to engine calibration experiment

    基於貝葉斯方法的實時洪水校正模型
  10. Bayes method of reliability demonstration testing for colour broadcasting tv receiver

    彩色電視廣播接收機可靠性驗證試驗貝葉斯方法
  11. L. observables, a general class of distributions, are to be predicted using the bayesian approach

    在type雙刪失數據場合下，利用貝葉斯方法對一類分佈的未來觀測值作出預測。
  12. By employing bayesian methods, it is possible to define a prior model and update the model as test data become available

    通過採用貝葉斯方法可能定義一個先驗模型，並且隨著實驗數據的產生來對模型進行更新。
  13. It discusses three kinds of chinese text caegorizahon methods like bayes method, k nearest neighbor ( knn ) and support vector machines ( svm )

    較全面地討論了貝葉斯方法、 k近鄰方法和支持向量機等三種中文文本分類方法。
  14. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後，研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論，證明了模型系數的后驗分佈為多元t分佈，模型誤差項方差的后驗估計為逆gamma分佈；根據多元t分佈和f分佈之間的關系，構造了模型系數線性假設檢驗的貝葉斯方法；根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法，並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
  15. By introducing the two solutions, suggested by dorling and strevens respectively, to duhem ' s problem with bayesian approach, this paper aims to explain how duhem ' s problem is treated in bayesian framework, and make a comparison between the two solutions, with a conclusion that strevens ' solution is more rational and objective

    本文主要通過介紹多林與斯特雷文斯各自運用貝葉斯方法解決迪昂問題的兩個方案，試圖說明迪昂問題在貝葉斯機制中的處理方式，並且對這兩個方案作出比較，認為斯特雷文斯的方案更為客觀與合理。
  16. This paper presents that the directional spectra and the reflection coefficients of the oblique and the multidirectional irregular waves on the co - exist wave field of incident wave and reflected wave have been studied. a modified two - points method is proposed that can be used to calculate the frequent spectrum and reflection coefficient of the oblique waves. for the multidirectional irregular waves, the directional spectra and reflection coefficients are obtained by the modified bayesian directional method and the modified maximum likelihood method

    本文研究了入、反射波共存場中斜向不規則波和多向不規則波波浪場的方向譜和反射系數，對于斜向不規則波頻率譜及反射系數的計算提出了一種改進兩點法（ mtpm ） ，對于多向不規則波方向譜和反射系數的分析，應用了改進的貝葉斯方法（ mbdm ）和改進的最大似然法（ mmlm ） 。
  17. Firstly, we directly use the motion vectors of macro - blocks defined in mpeg - i / ii compressing standards and filter the immobile macro - blocks. then, we build a skin color model in ycbcr color space using the convergent property of skin color, and we present the gaussian model skin recognition method and positive - negative look - up table method in details. and we analyze the texture of skin after wavelet transform and present a bayesian method based texture recognition method and a high texture filtering method

    根據皮膚的運動性，首先直接利用mpeg -中的壓縮標準中有關宏塊運動預測的方法，提取宏塊的運動矢量，將沒有運動的宏塊過濾掉；然後，利用皮膚顏色的聚合性，在ycbcr顏色空間建立了皮膚的顏色模型，並分別闡述了基於高斯分佈模型的皮膚檢測法和正反概率表方法；最後，通過對皮膚進行小波變換后的紋理進行統計后，發現有效的利用皮膚紋理特徵，可以比較有效的過濾掉那些具有類似於皮膚顏色的背景，分別闡述了基於貝葉斯方法的紋理檢測方法和高紋理過濾法。
  18. The thesis analyses and parses openoffice. org document from text classification viewpoint, depicts the methods of extracting content, formatting, structure and descriptive information, which are most related to classification, from openoffice. org documents, and then constructs three different classification models for openoffice. org documents, respectively called label components classifier, structure components classifier and comprehensive classifier. the thesis implements these three classifiers through na ? ve bayes

    本文從面向分類的角度深入地分析了openoffice . org文檔，描述了從文檔中抽取與分類最相關的內容和格式、結構以及文檔描述信息的方法，構建了標簽組件法、結構組件法和綜合法三種不同的文本分類模型，最後用樸素貝葉斯方法實現了openoffcice . org文檔的三種分類器。
  19. Therefore, to completely support our country ' s nuclear power station operation required establishment of a china ' s real - time on - line decision - making support system to shape the detailed circumstances of the country

    而風場的不確定度用貝葉斯方法改善為宜，因此，要完全支持我國核電站運行，就要按中國國情，開發一個適合我國國情的中國的核應急決策支持系統（ crodos ） 。
  20. Edges of the image are detected out firstly, labeled according to the motion that they obey then and the areas of the frame between edges are divided into regions. at last, using the bayesian framework presented determines the most likely region labeling and depth ordering with the labeled edges

    首先使用經典的canny運算元檢測出一幀圖像的邊緣，然後對其進行運動估計、邊緣和區域標定，再應用最大后驗概率的貝葉斯方法搜索出不同區域的極大似然分割，給出不同運動層的相對深度標定。
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