Second-order generalization

被引：0
|
作者：
Neville, RS [1 ]
机构：
[1] Univ Manchester, Inst Sci & Technol, Dept Computat, Manchester M60 1QD, Lancs, England
来源：
2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2004年
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：
Second-order generalization is usually of a more abstract nature than standard generalization, as unseen stimuli may be classified by some higher order rule. The research presents a new theory which utilises information inheritance in order to perform second-order generalization.
引用
收藏
页码：949 / 954
页数：6
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