Non-adaptive Learning of a Hidden Hypergraph

被引：3
|
作者：
Abasi, Hasan [1 ]
Bshouty, Nader H. [1 ]
Mazzawi, Hanna [2 ]
机构：
[1] Technion Israel Inst Technol, Dept Comp Sci, IL-32000 Haifa, Israel
[2] Google, London, CA USA
来源：
ALGORITHMIC LEARNING THEORY, ALT 2015 | 2015年 / 9355卷
关键词：
QUERIES; FAMILIES; GRAPH;
D O I：
10.1007/978-3-319-24486-0_6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We give a new deterministic algorithm that non-adaptively learns a hidden hypergraph from edge-detecting queries. All previous non-adaptive algorithms either run in exponential time or have non-optimal query complexity. We give the first polynomial time non-adaptive learning algorithm for learning hypergraph that asks an almost optimal number of queries.
引用
收藏
页码：89 / 101
页数：13
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