no problem 毫無(wú)問(wèn)題; 考試家族; 沒(méi)問(wèn)題; 無(wú)問(wèn)題
problem n. 1.問(wèn)題,課題;疑難問(wèn)題;令人困惑的情況。 2.【數(shù)、物】習(xí)題;作圖題。 3.(象棋的)布局問(wèn)題。 the problem of unemployment 失業(yè)問(wèn)題。 His whole conduct is a problem to me. 他的一切行為我都不理解。 adj. 1.成問(wèn)題的;難處理的。 2.關(guān)于社會(huì)問(wèn)題的。 a problem child 【心理學(xué)】問(wèn)題兒童;難管教的孩子。 a problem novel [play] (反映社會(huì)問(wèn)題等的)問(wèn)題小說(shuō)[戲劇]。 sleep on [upon, over] a problem 把問(wèn)題留到第二天解決。
Discretization of continuous attributes in classification problems 分類問(wèn)題中連續(xù)屬性的離散化方法
Improved support vector machine for multi - class classification problems 一種用于多分類問(wèn)題的改進(jìn)支持向量機(jī)
Usually , the relation extraction problem was converted to a classification problem 通常,將關(guān)系抽取問(wèn)題轉(zhuǎn)化為一個(gè)分類問(wèn)題。
Fuzzy classification systems can deal with perceptual uncertainties in classification problems 模糊分類系統(tǒng)可以處理分類問(wèn)題中資料的不確定性。
Because the structure is simple , pnn is an effective model for many classification problems and many pattern recognitions Pnn的拓?fù)浣Y(jié)構(gòu)簡(jiǎn)單,容易設(shè)計(jì)算法,廣泛應(yīng)用于模式識(shí)別及模式分類領(lǐng)域
As solving other classification problem , we firstly research on the feature extraction of relation extraction problem , viz 與解決其他分類問(wèn)題一樣,本文首先對(duì)關(guān)系抽取問(wèn)題中的特征提取進(jìn)行了研究。
And two types of problems are applied based on the agent - based approach : the nonlinear system approximation problem and the classification problem 最后,基于智能體的進(jìn)化算法補(bǔ)應(yīng)用于非線性系統(tǒng)模擬問(wèn)題和分類問(wèn)題中。
This thesis presents two simple methods to select kernel ' s parameters for classification problems and regression problems respectively . the construction of kernels 本文分別針對(duì)模式分類和函數(shù)逼近兩類問(wèn)題,給出了對(duì)核函數(shù)參數(shù)進(jìn)行選擇的簡(jiǎn)便方法。
Lorenz system and mackey - glass time series are the examples for nonlinear system approximation problems , while iris data and wine data are taken as examples for classification problems 分別是二階非線性工廠模型, lorenz系統(tǒng), mackey - glass時(shí)間序列, iris數(shù)據(jù)集和wine數(shù)據(jù)集。
Clusen is applied on neural networks to solve the multiple classification problems , the experimental results on uci data sets show that clusen computes more efficiency than gasen proposed before 結(jié)果表明,該技術(shù)計(jì)算效率高,精度與穩(wěn)健性也與基于遺傳算法的選擇性集成方法相當(dāng)甚至占優(yōu)。