ACQUIRING AND COMBINING OVERLAPPING CONCEPTS

被引：16

作者：

MARTIN, JD ^{[1
]}

BILLMAN, DO ^{[1
]}

机构：

[1] GEORGIA INST TECHNOL,DEPT PSYCHOL,ATLANTA,GA 30332

来源：

MACHINE LEARNING | 1994年 / 16卷 / 1-2期

关键词：

CONCEPT FORMATION; OVERLAPPING CONCEPTS; CONCEPTUAL COMBINATION; INCREMENTAL ALGORITHMS;

D O I：

10.1007/BF00993176

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents OLOC, an incremental concept formation system that learns and uses overlapping concepts. OLOC learns probabilistic concepts that have overlapping extensions and does so to maximize expected predictive accuracy. When making predictions, OLOC can combine multiple overlapping concepts.

引用

页码：121 / 155

页数：35

共 24 条

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