Non-adaptive Learning of a Hidden Hypergraph

Proceedings of the 26th International Conference on Algorithmic Learning Theory - Volume 9355(2015)

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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.
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关键词
Hypergraphs,Monotone DNF,Cover Free Family,Perfect Hash Family,Non-adaptive learning,Group Testing
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