Attribute-based learning

被引：0

作者：

Bratko, I ^{[1
]}

Cestnik, B ^{[1
]}

Kononenko, I ^{[1
]}

机构：

[1] JOZEF STEFAN INST,LJUBLJANA,SLOVENIA

来源：

AI COMMUNICATIONS | 1996年 / 9卷 / 01期

关键词：

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：

This report highlights the main approaches to attribute-based learning which include rule induction, decision-tree induction, regression-tree induction, and Naive Bays classifiers. For each of the approaches considered, a reasonably representative list of systems/algorithms is presented.

引用

页码：27 / 32

页数：6

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