两个人看的www视频中文字幕,国产精品美女久久久久av超清

TranslationMobile

分類問題

"classification" in Chinese : n. 1.選別；分等，分級；分選。 2.【動、植】分類( ...
"problem" in Chinese : n. 1.問題，課題；疑難問題；令人困惑的情況。 2.【 ...
"homotopy classification problem" in Chinese : 同倫分類問題
"classification" in Chinese : n. 1.選別；分等，分級；分選。 2.【動、植】分類(法)。〔分類級別為 ...
"a problem" in Chinese : 一道題; 一個問題
"no problem" in Chinese : 毫無問題; 考試家族; 沒問題; 無問題
"problem" in Chinese : n. 1.問題，課題；疑難問題；令人困惑的情況。 2.【數、物】習題；作圖題 ...
"the problem is" in Chinese : 困難在於
"problem-assessment and problem-solving" in Chinese : 問題分析與決策
"tip-in problem tip-in problem" in Chinese : 猛踩油門問題
"a broad classification" in Chinese : 粗略的分類
"abbott classification" in Chinese : 阿波特分類法
"abc classification" in Chinese : abc分類法; abc分類管理; 分類管理
"account classification" in Chinese : 會計科目表; 帳戶分類; 帳目分類，會計科目分類
"accounting classification" in Chinese : 會計分類; 會計科目分類

Examples

Discretization of continuous attributes in classification problems
分類問題中連續(xù)屬性的離散化方法
Improved support vector machine for multi - class classification problems
一種用于多分類問題的改進支持向量機
Usually , the relation extraction problem was converted to a classification problem
通常,將關系抽取問題轉化為一個分類問題。
Fuzzy classification systems can deal with perceptual uncertainties in classification problems
模糊分類系統可以處理分類問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的拓撲結構簡單,容易設計算法,廣泛應用于模式識別及模式分類領域
As solving other classification problem , we firstly research on the feature extraction of relation extraction problem , viz
與解決其他分類問題一樣,本文首先對關系抽取問題中的特征提取進行了研究。
And two types of problems are applied based on the agent - based approach : the nonlinear system approximation problem and the classification problem
最后，基于智能體的進化算法補應用于非線性系統模擬問題和分類問題中。
This thesis presents two simple methods to select kernel ' s parameters for classification problems and regression problems respectively . the construction of kernels
本文分別針對模式分類和函數逼近兩類問題，給出了對核函數參數進行選擇的簡便方法。
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， mackey - glass時間序列， iris數據集和wine數據集。
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
結果表明，該技術計算效率高，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甚至占優(yōu)。