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- SECRET is a new algorithm for scalable linear regression trees. SECRET是一個(gè)關(guān)于可伸縮線(xiàn)形回歸樹(shù)的算法。
- For more information, see Microsoft Linear Regression Algorithm. 有關(guān)詳細信息,請參閱Microsoft線(xiàn)性回歸算法。
- Examples of neural coding. Simple linear regression. 神經(jīng)編碼的例子與簡(jiǎn)單的線(xiàn)性回歸。
- Linear Regression with Transformations of the dependent variable. 線(xiàn)性回歸與變革的因變量。
- The apparent reaction rate constant can be obtained by linear regression. 線(xiàn)性回歸得出化學(xué)反應速率常數表觀(guān)值。
- Methods Linear regression coupled with RSR is applied in this paper. 方法應用線(xiàn)性回歸和秩和比法。
- The Microsoft Linear Regression algorithm provides linear regression support for more business flexibility. Microsoft線(xiàn)性回歸算法提供線(xiàn)性回歸支持,以獲得更好的業(yè)務(wù)靈活性。
- Accordingly, the end for multiple regression as against linear regression appeared quite reasonable. 因此,同線(xiàn)性回歸相比,這種對多元回歸的需要看來(lái)是頗有道理的。
- The Six Sigma Black Belt will be able to conduct simple and multiple linear regression. 西格瑪黑帶應能進(jìn)行簡(jiǎn)單的或多次線(xiàn)性回歸。
- recursive linear smoothed Newton predictors 遞歸線(xiàn)性平滑牛頓預測器
- Use the Microsoft Neural Network Viewer to explore a linear regression mining model. 使用Microsoft神經(jīng)網(wǎng)絡(luò )查看器可瀏覽線(xiàn)性回歸挖掘模型。
- Calculates the linear regression of a set and returns the coefficient of determination, R2. 對集進(jìn)行線(xiàn)性回歸計算,并返回確定系數R2。
- The limitations of usual linear regression model are gotten over by GM(0,3), which afford theorical basis for detail specification sizes of apparel. GM(0,3)灰色模型克服了常用的線(xiàn)性回歸模型的局限性,為服裝細部規格尺寸的確定提供了理論依據。
- The relationships between pancreatic dimensions and body height, body weight, surface area and age were evaluated with linear regression analysis. 這4個(gè)不同的胰臟因數，再分別與身高，體重，體表面積與年齡作線(xiàn)性回歸分析。
- The contents of pyramidon and caffeine in Naoqing Pian were determinedby a multi - wavelength linear regression method. 本文采用多波長(cháng)直線(xiàn)回歸法測定腦清片中氨基比林和咖啡因的含量。
- Linear regression analysis suggested PACD=0.68+0.51 ACD+0.02 ICPIOL(F=16.09,P=0.002). 多元線(xiàn)性回歸分析示PACD=0.;68+0
- Abstract A method for estimating 3D space face pose was proposed based on affine transformation and linear regression. 摘要提出了一種由仿射變換關(guān)系到線(xiàn)性回歸的3D人臉空間姿態(tài)估計方法。
- Compared with multiple linear regression (MLR) method, the model of ANN is better than MLR in prediction, but wor... 與多元線(xiàn)性回歸法相比較，人工神經(jīng)網(wǎng)絡(luò )模型具有更好的預測結果，但外推能力較弱。
- Though the linear regression equation,grafting yield of product can be counted directly by contact angle. 推導出的線(xiàn)性回歸方程,能通過(guò)接觸角的測定直接計算出接枝率。
- Linear regression model with elliptically symmetric errors and unknown dispersion matrix was discussed. 摘要討論了協(xié)方差陣未知的橢球等高線(xiàn)性模型中的穩健性問(wèn)題。
