Design of directed acyclic graph multiclass structures

被引：0

作者：

Lorena, Ana C. ^{[1
]}

Carvalho, Andre C. P. L. F. ^{[2
]}

机构：

[1] Univ Fed ABC, Ctr Matemat Computacao & Cognicao, BR-09090400 Santo Andre, SP, Brazil

[2] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, Depto Ciencia Computacao, BR-13560970 Sao Carlos, SP, Brazil

来源：

NEURAL NETWORK WORLD | 2007年 / 17卷 / 06期

关键词：

Machine Learning; Support Vector Machines; multiclass classification problems; Genetic Algorithms;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the approaches adopted to generate multiclass classifiers from binary predictors is to decompose the multiclass problem into multiple binary sub-problems. Among the existing decomposition approaches, one may cite the use of Directed Acyclic Graphs (DAG) to combine pairwise classifiers. This work presents a study on the influence of the DAG structure in the performance obtained in multiclass problems when Support Vector Machines are used in the induction of the binary predictors.

引用

页码：657 / 673

页数：17

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