Naive Bayes
基本解釋
- 樸素貝葉斯
英漢例句
- However, for this article, I'll show only the Naive Bayes approach, because it demonstrates the overall problem and inputs in Mahout.
但在本文中,我只會演示 Naive Bayes 方法,因為這能讓您看到總體問題和 Mahout 中的輸入。 - Naive Bayes classifiers often break down when the size of the training examples per class are not balanced or when the data is not independent enough.
當(dāng)各類的訓(xùn)練示例的大小不平衡,或者數(shù)據(jù)的獨立性不符合要求時,Naive Bayes 分類器會出現(xiàn)故障。 - Naive Bayes classifiers are known to be fast and fairly accurate, despite their very simple (and often incorrect) assumptions about the data being completely independent.
Naive Bayes 分類器為速度快和準確性高而著稱,但其關(guān)于數(shù)據(jù)的簡單(通常也是不正確的)假設(shè)是完全獨立的。
雙語例句
詞組短語
- naive -bayes 樸素貝葉斯
- Complementary Naive Bayes classifier 補充樸素貝葉斯分類器
- NB - Naive Bayes 樸素貝葉斯
- Discriminative Naive Bayes 區(qū)分式樸素貝葉斯
- General Naive Bayes 廣義樸素貝葉斯
短語
專業(yè)釋義
- 樸素貝葉斯
Weighted naive Bayes(simply WNB)is an extension of it.
加權(quán)樸素貝葉斯是對它的一種擴展。