Lower bounds for the complexity of learning half-spaces with membership queries

被引：0

作者：

Shevchenko, VN ^{[1
]}

Zolotykh, NY ^{[1
]}

机构：

[1] Nizhnii Novgorod State Univ, Nizhnii Novgorod 603600, Russia

来源：

ALGORITHMIC LEARNING THEORY | 1998年 / 1501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：

Exact learning of half-spaces over finite subsets of IRn from membership queries is considered. We describe the minimum set of labelled examples separating the target concept from all the other ones of the concept class under consideration. For a domain Consisting of all integer points of some polytope we give non-trivial-lower bounds on the complexity of exact identification of half-spaces. These bounds are near to known upper bounds.

引用

页码：61 / 71

页数：11

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