Name
Title | ||
|---|---|---|
Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral |
Abstract | ||
|---|---|---|
A detailed discussion on contributions from feature attributes to the classifying attribute in the nonlinear classification model based on the Choquet integral is given in this paper. The work provides a new understanding to the geometric structure of the model with contribution rates from the feature attributes towards the classification, as well as the interaction among them. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GrC.2010.122 | GrC |
Keywords | Field | DocType |
choquet integral,integral equations,new understanding,pattern classification,feature attribute,contribution rate,nonadditive set functions,nonlinear classification,detailed discussion,geometric structure,the choquet integral,feature attributes,nonlinear optimization,data mining,classifying attribute,nonlinear classification model,classification,geometry,computational modeling,additives,mathematical model | Pattern recognition,Computer science,Nonlinear programming,Integral equation,Nonlinear classification,Artificial intelligence,Choquet integral,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4244-7964-1 | 1 | 0.37 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Chu | 1 | 3 | 1.06 |
| Zhenyuan Wang | 2 | 684 | 90.22 |
| Yu Shi | 3 | 3208 | 264.97 |