Learning a hidden graph

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DC Field	Value	Language
dc.contributor.author	Chang, Huilan	en_US
dc.contributor.author	Fu, Hung-Lin	en_US
dc.contributor.author	Shih, Chih-Huai	en_US
dc.date.accessioned	2015-07-21T11:21:06Z	-
dc.date.available	2015-07-21T11:21:06Z	-
dc.date.issued	2014-12-01	en_US
dc.identifier.issn	1862-4472	en_US
dc.identifier.uri	http://dx.doi.org/10.1007/s11590-014-0751-9	en_US
dc.identifier.uri	http://hdl.handle.net/11536/123884	-
dc.description.abstract	We study the problem of learning a hidden graph by edge-detecting queries, each of which tells whether a set of vertices induces an edge of the hidden graph or not. We provide a new information-theoretic lower bound and give a more efficient adaptive algorithm to learn a general graph with n vertices and m edges in m log n + 10m + 3n edge-detecting queries.	en_US
dc.language.iso	en_US	en_US
dc.subject	Combinatorial search	en_US
dc.subject	Graph learning	en_US
dc.subject	Competitive group testing	en_US
dc.subject	Complex model	en_US
dc.title	Learning a hidden graph	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1007/s11590-014-0751-9	en_US
dc.identifier.journal	OPTIMIZATION LETTERS	en_US
dc.citation.spage	2341	en_US
dc.citation.epage	2348	en_US
dc.contributor.department	應用數學系	zh_TW
dc.contributor.department	Department of Applied Mathematics	en_US
dc.identifier.wosnumber	WOS:000345317500015	en_US
dc.citation.woscount	0	en_US
Appears in Collections:	Articles

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