Titlebook: Machine Learning and Data Mining in Pattern Recognition; 7th International Co Petra Perner Conference proceedings 2011 Springer-Verlag GmbH

恳求

书目名称Machine Learning and Data Mining in Pattern Recognition影响因子(影响力)




书目名称Machine Learning and Data Mining in Pattern Recognition影响因子(影响力)学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition网络公开度




书目名称Machine Learning and Data Mining in Pattern Recognition网络公开度学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition被引频次




书目名称Machine Learning and Data Mining in Pattern Recognition被引频次学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition年度引用




书目名称Machine Learning and Data Mining in Pattern Recognition年度引用学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition读者反馈




书目名称Machine Learning and Data Mining in Pattern Recognition读者反馈学科排名

围巾

978-3-642-23198-8Springer-Verlag GmbH Berlin Heidelberg 2011

confide

Machine Learning and Data Mining in Pattern Recognition978-3-642-23199-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

abreast

Tidious

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620457.jpg

情感

https://doi.org/10.1007/978-3-642-23199-5algorithmic learning; data analysis; kernel methods; suppor vector machine; text analysis

进入

Separability of Split Value Criterion with Weighted Separation Gainsed and discussed in comparison with the most popular decision tree node splitting criteria like information gain and Gini index. Because the new SSV definition introduces a parameter, some empirical analysis of the new parameter is presented. The new criterion turned out to be very successful in decision tree induction processes.

国家明智

牛的细微差别

CHOP

Conference proceedings 201111, held in New York, NY, USA.The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, application in medicine, webmining and information mining;