找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Classification - the Ubiquitous Challenge; Proceedings of the 2 Claus Weihs,Wolfgang Gaul Conference proceedings 2005 Springer-Verlag Berli

[复制链接]
查看: 35524|回复: 65
发表于 2025-3-21 17:53:37 | 显示全部楼层 |阅读模式
书目名称Classification - the Ubiquitous Challenge
副标题Proceedings of the 2
编辑Claus Weihs,Wolfgang Gaul
视频video
概述Includes supplementary material:
丛书名称Studies in Classification, Data Analysis, and Knowledge Organization
图书封面Titlebook: Classification - the Ubiquitous Challenge; Proceedings of the 2 Claus Weihs,Wolfgang Gaul Conference proceedings 2005 Springer-Verlag Berli
出版日期Conference proceedings 2005
关键词calculus; classification; clustering; data analysis; service-oriented computing
版次1
doihttps://doi.org/10.1007/3-540-28084-7
isbn_softcover978-3-540-25677-9
isbn_ebook978-3-540-28084-2Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

书目名称Classification - the Ubiquitous Challenge影响因子(影响力)




书目名称Classification - the Ubiquitous Challenge影响因子(影响力)学科排名




书目名称Classification - the Ubiquitous Challenge网络公开度




书目名称Classification - the Ubiquitous Challenge网络公开度学科排名




书目名称Classification - the Ubiquitous Challenge被引频次




书目名称Classification - the Ubiquitous Challenge被引频次学科排名




书目名称Classification - the Ubiquitous Challenge年度引用




书目名称Classification - the Ubiquitous Challenge年度引用学科排名




书目名称Classification - the Ubiquitous Challenge读者反馈




书目名称Classification - the Ubiquitous Challenge读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:00:36 | 显示全部楼层
Multimedia Pattern Recognition in Soccer Video Using Time Intervalssoccer video, we compare three different machine learning techniques, i.c. C4.5 decision tree, Maximum Entropy, and Support Vector Machine. It was found that by using the TIME framework the amount of video a user has to watch in order to see almost all highlights can be reduced considerably, especially in combination with a Support Vector Machine.
发表于 2025-3-22 02:15:13 | 显示全部楼层
Quantitative Assessment of the Responsibility for the Disease Load in a Populatione concept of partial . has been developed. The partial . offers a unique solution for allocating shares of . to a number of exposure factors of interest, as illustrated by data from the German Göttingen Risk, Incidence, and Prevalence Study (G.R.I.P.S.).
发表于 2025-3-22 06:23:39 | 显示全部楼层
Bagging, Boosting and Ordinal Classificationnts of bagging and boosting, which make use of the ordinal structure and it is shown how the predictive power might be improved. Comparisons are based not only on misclassification rates but also on general distance measures, which reflect the difference between true and predicted class.
发表于 2025-3-22 09:09:29 | 显示全部楼层
发表于 2025-3-22 16:48:07 | 显示全部楼层
Iterative Majorization Approach to the Distance-based Discriminant Analysislems, and can be applied as a dimensionality reduction technique. In the latter case, the number of necessary discriminative dimensions can be determined exactly. The sought transformation is found as a solution to an optimization problem using iterative majorization.
发表于 2025-3-22 19:28:48 | 显示全部楼层
发表于 2025-3-23 01:15:42 | 显示全部楼层
What Drives Serendipity Research?,ng the jack-knife procedure, and by Kiers (2004) for CP and Tucker3 analysis using the bootstrap procedure. The present paper reviews the latter procedures, discusses their performance as reported by Kiers (2004), and illustrates them on an example data set.
发表于 2025-3-23 04:18:43 | 显示全部楼层
发表于 2025-3-23 08:18:38 | 显示全部楼层
Lisa N. Fink,J. César Félix-Brasdefere concept of partial . has been developed. The partial . offers a unique solution for allocating shares of . to a number of exposure factors of interest, as illustrated by data from the German Göttingen Risk, Incidence, and Prevalence Study (G.R.I.P.S.).
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-23 02:49
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表