基本解釋[計(jì)算機(jī)科學(xué)技術(shù)]高斯核函數(shù)英漢例句雙語(yǔ)例句This paper presents a general data depth function with adaptive shape of deep contours based on Gaussian kernel function.本文提出了一個(gè)具有自適應(yīng)等深面的廣義數(shù)據(jù)深度函數(shù)。This study identifies SVM (the Gaussian RBF kernel function) which is based on genetic algorithm to optimize its parameters as classifier to identify unknown samples.采用基于遺傳算法優(yōu)化參數(shù)的支持向量機(jī)（高斯徑向機(jī)核函數(shù)）作為分類(lèi)器對(duì)未知樣本進(jìn)行鑒別。In order to make use of the advantages of kernel function, we construct a hybrid kernel function which based on Gaussian kernel function and has advantages of local and overall.為了更好的發(fā)揮核函數(shù)的優(yōu)勢(shì)，本文構(gòu)造了一個(gè)基于高斯核函數(shù)、具有全局性與局部性及可變核寬度優(yōu)點(diǎn)的組合核函數(shù)；gaussian kernel function更多例句詞組短語(yǔ)短語(yǔ)gaussian kernel density function 高斯核密度估計(jì)radially gaussian kernel function 徑向高斯核函數(shù)double gaussian kernel mixed -function 雙高斯合成函數(shù)gaussian kernel function更多詞組專(zhuān)業(yè)釋義計(jì)算機(jī)科學(xué)技術(shù)高斯核函數(shù)RVM using locality preserving kernel introduces intra-class similarity into Gaussian kernel function to keep the data set’s neighborhood structure, and is applied into SR.在RVM模型所采用的高斯核函數(shù)中引入相似度因子，以保留數(shù)據(jù)局部結(jié)構(gòu)，構(gòu)成保局部核RVM模型。