multivariate function造句
例句與造句
- Research and application of multivariate function extreme value
多元函數(shù)極值的研究與應(yīng)用 - General methods of determining the type of extremum and constrained extremum of multivariate function
多元函數(shù)極值的二次型判定法 - We introduce and motivate the main theme of the course , the setting of the problem of learning from examples as the problem of approximating a multivariate function from sparse data - the examples
我們介紹且激發(fā)課程的主題將朝向于實(shí)例學(xué)習(xí)法的問(wèn)題設(shè)定,例如稀疏值中多變量函數(shù)近似的問(wèn)題。 - We look at the problem of learning from examples as the problem of multivariate function approximation from sparse chosen data , and then consider the case in which the data are drawn , instead of chosen , according to a probability measure
并檢視稀疏精選值中多變量函數(shù)近似法等這些從實(shí)例學(xué)習(xí)法所發(fā)現(xiàn)的問(wèn)題,然后根據(jù)機(jī)率衡量,審思隨機(jī)獲得資料而非選定資料的案例。 - By using conditional moment generating functions and differentiation of measures on a net , some limit theorems and a class of deviation theorems of multivariate function sequences of arbitrary random variables ralated to the conditional expectations are obtained
本論文利用條件矩母函數(shù)和網(wǎng)微分法,得到任意隨機(jī)變量多元函數(shù)序列相對(duì)于條件期望的偏差定理和極限定理。 - It's difficult to find multivariate function in a sentence. 用multivariate function造句挺難的
- A strong deviation theorem of multivariate function sequences of arbitrary random variables is obtained by using moment generating functions and differentiation of measures on a net . and a strong deviation theorem of discrete information sources is obtained
本論文利用母函數(shù)和網(wǎng)微分法得到任意隨機(jī)變量多元函數(shù)序列的強(qiáng)偏差定理;及一個(gè)對(duì)離散信源普遍成立的強(qiáng)偏差定理。
相鄰詞匯
- "multivariate datasets"造句
- "multivariate distribution"造句
- "multivariate distribution function"造句
- "multivariate distributions"造句
- "multivariate field"造句
- "multivariate gamma distribution"造句
- "multivariate gaussian"造句
- "multivariate gaussian distribution"造句
- "multivariate hypergeometric distribution"造句
- "multivariate interpolation"造句