hypersphere 中文意思是什麼

hypersphere 解釋
超球面
  1. Theorem 1. 4 let m be a hypersurface with non - zero constant scalar curvature in rn + l spanning a sphere sn - 1 ( r ). if its gauss image lies in the semisphere, then m is a hypersphere cap

    )為邊界的緊致常純量曲率(非零)超曲面,如果其高斯映照像落在一個以s ~ ( n - 1 ) ( r )為邊界的半球面內,則m只有超球面蓋。
  2. Normal behavior and anomaly are distinguished on the basis of observed datum such as network flows and audit records of host. when a training sample set is unlabelled and unbalanced, attack detection is treated as outlier detection or density estimation of samples and one - class svm of hypersphere can be utilized to solve it. when a training sample set is labelled and unbalanced so that the class with small size will reach a much high error rate of classification, a weighted svm algorithm, i

    針對訓練樣本是未標定的不均衡數據集的情況,把攻擊檢測問題視為一個孤立點發現或樣本密度估計問題,採用了超球面上的one - classsvm演算法來處理這類問題;針對有標定的不均衡數據集對于數目較少的那類樣本分類錯誤率較高的情況,引入了加權svm演算法-雙v - svm演算法來進行異常檢測;進一步,基於1998darpa入侵檢測評估數據源,把兩分類svm演算法推廣至多分類svm演算法,並做了多分類svm演算法性能比較實驗。
  3. The method, originally suggested by vapnik, interpreted as a novelty detectors by tax and duin. in was used as a classifier. it contains support vectors describing the hypersphere separating the samples

    支持向量區域描述演算法的主要思想是建立一個超球,包含所有同類點,目標函數使球半徑盡量小,並且球內包含盡量多的同類點。
  4. Hypercuboid and hypersphere class least covers are used to be rules of constructing binary tree

    所以,該演算法採用最小超立方體和最小超球體類包含作為二叉樹的生成演算法。
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