multiclass 中文意思是什麼

multiclass 解釋
多類
  1. Multiclass characters treat all skills gained from any of their classes as class skills. the character level determines a skill ' s maximum rank

    兼職人物的所有職業中的本職技能都是該人物的本職技能。人物等級決定其技能等級最大值。
  2. If a skill is not a class skill for any of a multiclass character ' s classes, the maximum rank for that skill is one - half the maximum for a class skill

    如果某技能不是兼職人物任何職業的本職技能，那麼該技能的最大級數是本職技能最大級數的一半。
  3. Support vector machines ( svms ) for binary classification have been solved perfectly, but svms for multiclass classification and regressive ability need to be researched and improved further

    支持向量機對二類劃分問題已解決得非常好，但其對多類劃分問題及回歸的能力仍有待進一步研究和改善。
  4. As described in chapter 2 of the dungeon master ' s guide, characters who qualify can multiclass with a prestige class when they advance in level

    就如同《地下城主指南》第二章所述，符合條件的人物可以在升級時兼職進階職業。
  5. In proc. neural information processing systems conference, vancouver and whistler, bc, canada, 2003, pp. 833 - 840. 9 dekel o, singer y. multiclass learning by probabilistic embeddings

    因此，特徵數據的降維方法，即將高維的特徵數據如何進行簡化投射到低維空間中再進行處理，成為了當前數據驅動的計算方法研究熱點之一。
  6. Fuzzy c - clustering svm and least square svm for multiclass regression estimations is presented in chapter 3, this method can estimate multiple regressions while clustering the samples. multi - output svm and multi - output least square svm are discussed for multiclass regression estimations

    在討論多類回歸模型估浙江大學博士學位論文計問題的基礎上又針對多個輸出的問題討論了svm和ls一svm如何實現的問題。
  7. Thirdly, the multiclass svm classifier based on one - against - rest mode is developed. because there are some text that are not distinguished, knn method and feature matching algoritllln can post - classify the non - distinguished text

    針對支持向量機多類器中存在的文本漏識問題，採取knn方法和特徵匹配方法進行后處理，對失效文本實施二次分類，改善了多分類器的性能。
  8. Study on the multiclass classifying based on the one - class classification

    基於一類分類方法的多類分類研究
  9. Study on multiclass text categorization based on support vector machine

    基於支持向量機的多元文本分類研究
  10. The multiclass svm methods based on binary tree are proposed

    摘要提出一種新的基於二叉樹結構的支持向量（ svm ）多類分類演算法。
  11. Numerical experiment results show that the multiclass svm methods are suitable for practical use

    實驗結果表明，該演算法具有一定的優越性。
  12. The new methods can resolve the unclassifiable region problems in the conventional multiclass svm methods

    該演算法解決了現有主要演算法所存在的不可分區域問題。
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