A cooperative game theoretic approach to prototype selection

被引：0

作者：

Suri, N. Rama ^{[1
]}

Srinivas, V. S. ^{[1
]}

Murty, M. Narasimha ^{[1
]}

机构：

[1] Indian Inst Sci, Dept Comp Sci & Automat, Elect Commerce Lab, Bangalore 560012, Karnataka, India

来源：

KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2007, PROCEEDINGS | 2007年 / 4702卷

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：

In this paper we consider the task of prototype selection whose primary goal is to reduce the storage and computational requirements of the Nearest Neighbor classifier while achieving better classification accuracies. We propose a solution to the prototype selection problem using techniques from cooperative game theory and show its efficacy experimentally.

引用

页码：556 / +

页数：2

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