Study on the multiclass classifying based on the one - class classification 基于一类分类方法的多类分类研究
Study on multiclass text categorization based on support vector machine 基于支持向量机的多元文本分类研究
The multiclass svm methods based on binary tree are proposed 摘要提出一种新的基于二叉树结构的支持向量( svm )多类分类算法。
Numerical experiment results show that the multiclass svm methods are suitable for practical use 实验结果表明,该算法具有一定的优越性。
The new methods can resolve the unclassifiable region problems in the conventional multiclass svm methods 该算法解决了现有主要算法所存在的不可分区域问题。
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,符合条件的人物可以在升级时兼职进阶职业。
Multiclass characters treat all skills gained from any of their classes as class skills . the character level determines a skill ' s maximum rank 兼职人物的所有职业中的本职技能都是该人物的本职技能。人物等级决定其技能等级最大值。
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 如果某技能不是兼职人物任何职业的本职技能,那么该技能的最大级数是本职技能最大级数的一半。
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 支持向量机对二类划分问题已解决得非常好,但其对多类划分问题及回归的能力仍有待进一步研究和改善。
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,特征数据的降维方法,即将高维的特征数据如何进行简化投射到低维空间中再进行处理,成为了当前数据驱动的计算方法研究热点之一。