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    1. discriminant

      英[d?s\'kr?m?n?nt]
      美[d?\'skr?m?n?nt]

      基本釋義

      n.
      判別式

      實用例句

      The paper expounds the application of Bayes discriminant analysis in safety evaluation.

      論述了多元統計分析方法中的貝葉斯判別分析方法在安全評價中的應用.

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      Implementation results reveal that the MTS outperforms traditional discriminant analysis methods.

      執行的結果發現MTS的分類結果較傳統鑒別分析佳.

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      Kernel linear discriminant analysis ( KLDA ) is essentially a nonlinear feature extraction criterion.

      核線性判別準則 ( KLDA ) 是一種非線性特征提取準則.

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      Sequential discriminant analysis ( SDA ) is a classical method to select variables.

      逐步判別分析是變量篩選的經典方法.

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      Afternoon be concerned about the amount of energy change, discriminant rebound effort.

      后市需關注量能變化, 判別反彈力度.

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      Based on uncorrelated discriminant analysis, kernel uncorrelated discriminant analysis is developed.

      核不相關鑒別分析是在線性不相關鑒別分析的基礎上發展起來的.

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      The discriminant analysis has an important significance for orebody classification.

      判別分析對研究未知屬性礦體的歸屬有著重要的意義.

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      Finally, the discriminant rate close to 90.

      最后的判別正確率接近90%.

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      Conclusion: Maxium likelihood discriminant method is practical in quantitative diagnosis of syndromes of apoplectic sequela.

      結論: 用最大似然判別法探討中風后遺癥中醫證候計量診斷方法,有較好的實用價值.

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      Independent Component Analysis ( ICA ) and Linear Discriminant Analysis ( LDA ) are two effective methods of feature extraction.

      本文提出了一種基于獨立成分分析和線性鑒別分析的特征提取方法.

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      Statistical techniques , including Multi - Regression, Cluster Analysis, and Discriminant Analysis , were employed to test ten null hypotheses.

      本研究以世界銀行發展報告書的統計為依據,共選定1970年、1975年 、 1980年 、 1985年、1990年、1995年各國高等教育在學率為分析資料.

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      Then, the features of the general discriminant must be relative to the law of structure change.

      于是, 得到晉遍判別法的應有特征,其判別式也應有規律,且須與完備風網系列間的結構變化規律相對應.

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      Practical potential of principal component analysis ( PCA ) and linear discriminant analysis ( LDA ), training and inspection.

      實用可能的主成分分析 ( PCA ) 和線性判別分析 ( LDA ), 訓練和檢查.

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      Linear Discriminant Analysis ( LDA ) is one of the classical and popular Methods: Used for feature extraction.

      線性 鑒別 分析是特征抽取中最為經典和廣泛使用的方法之一.

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      However, the result is unsatisfactory when the correct discriminant rate only lies between 53 - 63 % .

      惟其正確區別率僅在 53-63% 之間, 效果并不十分理想.

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