multiclass造句
例句与造句
- 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。 - It's difficult to find multiclass in a sentence. 用multiclass造句挺难的
- 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。 - As to its application to multiclass classification problems , most of the methods currently used are based on combining many binary svm classifiers to build a multicalss classifier . in this paper , a new method is proposed
就支持向量机在模式识别领域中的多类分类应用而言，目前的算法多采用组合两类支持向量机分类器进行多类分类的方式。 - 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
针对支持向量机多类器中存在的文本漏识问题，采取knn方法和特征匹配方法进行后处理，对失效文本实施二次分类，改善了多分类器的性能。 - Unlike the method mentioned above , unsupervised single - class svm classifiers instead of supervised binary svm classifiers are used as the basis for multiclass classifier construction and the single class classifiers are combined in three ways to provide a multiclass classification result
本文从另一角度出发，在研究无师学习单类支持向量机的基础上，通过三种不同的方法对其进行组合以构建多类分类器。 - 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
在讨论多类回归模型估浙江大学博士学位论文计问题的基础上又针对多个输出的问题讨论了svm和ls一svm如何实现的问题。 - Svm is designed for binary classification problem . it cannot be used to solve multiclass problem directly . a new svm framework ( ecc - svm ) to handle multiclass problem is proposed , which uses the error correcting codes to reduce the multiclass problem to multiple binary problems
Svm是针对两类分类问题设计的学习机器，不能直接用来解决多类分类问题，然而高维多光谱数据分类问题是典型的多类分类问题。
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