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Non-Adaptive Learning a Hidden Hipergraph

  • arXiv (Cornell University)
  • Cornell University
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Paper overview

Abstract

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 almost optimal number of queries.

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Publication details

DOI
10.48550/arxiv.1502.04137
OpenAlex
W2950852191
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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