To use the customized pair-wise linear regression algorithm plug-in, complete chapter 8, " using the customized plug-in algorithm " in the tutorial 若要使用自定義的“成對線性回歸”算法插件,請完成教程第8章“使用自定義的插件算法”。
The microsoft decision trees algorithm is a classification and regression algorithm for use in predictive modeling of both discrete and continuous attributes microsoft決策樹算法是一種分類和回歸算法,用于離散屬性和連續(xù)屬性的預(yù)測性建模。
To customize the pair-wise linear regression algorithm plug-in, complete chapter 7, " customizing the algorithm : pair-wise linear regression " in the tutorial 若要自定義“成對線性回歸”算法插件,請完成教程第7章“自定義成對線性回歸算法”。
After integrating this new algorithm into analysis services, the provider wants add a new viewer for the pair-wise linear regression algorithm 將這種新算法集成到analysisservices中之后,該提供程序希望為此“成對線性回歸”算法添加一種新的查看器。
A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy 摘要提出了一種新的自適應(yīng)約簡相關(guān)向量機回歸算法來估計圖像的光照色度以達到色彩一致性目的。
Firstly, it introduces the gradient boosting theory and the no weight regression algorithm based on this theory, then it presents the experimental results of a practical problem 首先對以損失函數(shù)梯度下降為原理的樣本無權(quán)值算法進行了闡述,并給出了一個實際問題的仿真結(jié)果。
The microsoft time series algorithm is a regression algorithm for use in creating data mining models to predict continuous columns, such as product sales, in a forecasting scenario microsoft時序算法是一種回歸算法,用于在預(yù)測方案中創(chuàng)建數(shù)據(jù)挖掘模型以預(yù)測連續(xù)列(如產(chǎn)品銷量)。
In this first part, he demonstrates how to develop and implement the heart of a simple linear regression algorithm package using php as the implementation language 在第1部分中,他演示了如何使用php作為實現(xiàn)語言來開發(fā)和實現(xiàn)簡單線性回歸(simplelinearregression)算法包的核心部分。
Through the experiment on the cod data and compared with some commonly used regression methods, it proves the efficiency and applicability of the ensemble learning boosting regression algorithm 通過對一批水質(zhì)cod數(shù)據(jù)進行的實驗仿真,并將其結(jié)果和一些常用的回歸方法作了比較,證明了集成學習boosting回歸算法對各種實際問題的有效性和適應(yīng)性。
A support vector regression algorithm was been introduced, and then an idea of forecasting medium-term and long-term regional economy based on the algorithm was explained and a mathematic model based on the idea was proposed 介紹了支持向量回歸算法,并在此基礎(chǔ)上,提出了基于支持向量回歸的方法對區(qū)域經(jīng)濟進行中長期預(yù)測的思路,并建立了相應(yīng)的數(shù)學模型。